diff --git a/docs/guides/circuit-library.ipynb b/docs/guides/circuit-library.ipynb
index 4d947019ae6..4a9d5a8da27 100644
--- a/docs/guides/circuit-library.ipynb
+++ b/docs/guides/circuit-library.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
@@ -348,7 +348,7 @@
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       ],
       "text/plain": [
        "<Figure size 1290.83x367.889 with 1 Axes>"
diff --git a/docs/guides/classical-feedforward-and-control-flow.ipynb b/docs/guides/classical-feedforward-and-control-flow.ipynb
index 953d5fc5640..8abb6124924 100644
--- a/docs/guides/classical-feedforward-and-control-flow.ipynb
+++ b/docs/guides/classical-feedforward-and-control-flow.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/common-parameters.ipynb b/docs/guides/common-parameters.ipynb
index 5590f772b04..aea59a3a8ff 100644
--- a/docs/guides/common-parameters.ipynb
+++ b/docs/guides/common-parameters.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "qiskit-ibm-runtime~=0.36.1\n",
     "```\n",
     "</details>"
diff --git a/docs/guides/construct-circuits.ipynb b/docs/guides/construct-circuits.ipynb
index ccbc3e01171..1b222cda441 100644
--- a/docs/guides/construct-circuits.ipynb
+++ b/docs/guides/construct-circuits.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/create-transpiler-plugin.ipynb b/docs/guides/create-transpiler-plugin.ipynb
index 14c86643d26..23f70f892b6 100644
--- a/docs/guides/create-transpiler-plugin.ipynb
+++ b/docs/guides/create-transpiler-plugin.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/custom-backend.ipynb b/docs/guides/custom-backend.ipynb
index 183d457a649..2b03dc2d450 100644
--- a/docs/guides/custom-backend.ipynb
+++ b/docs/guides/custom-backend.ipynb
@@ -40,7 +40,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
@@ -375,6 +375,17 @@
       " ############################## \n",
       "\n"
      ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Post-Transpilation: \n",
+      "CZ gates: 169\n",
+      "ECR gates: 4\n",
+      "SX gates: 326\n",
+      "RZ gates: 212\n"
+     ]
     }
    ],
    "source": [
@@ -418,7 +429,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1375.4x823.4 with 1 Axes>"
       ]
@@ -554,10 +565,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CZ gates: 868\n",
-      "X gates: 8\n",
-      "SX gates: 1588\n",
-      "RZ gates: 913\n"
+      "CZ gates: 837\n",
+      "X gates: 3\n",
+      "SX gates: 1558\n",
+      "RZ gates: 892\n"
      ]
     }
    ],
diff --git a/docs/guides/custom-transpiler-pass.ipynb b/docs/guides/custom-transpiler-pass.ipynb
index 898dcdd8620..d20feec630e 100644
--- a/docs/guides/custom-transpiler-pass.ipynb
+++ b/docs/guides/custom-transpiler-pass.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
@@ -288,7 +288,7 @@
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diff --git a/docs/guides/defaults-and-configuration-options.ipynb b/docs/guides/defaults-and-configuration-options.ipynb
index a5275ba7e7f..4a361acfec2 100644
--- a/docs/guides/defaults-and-configuration-options.ipynb
+++ b/docs/guides/defaults-and-configuration-options.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "qiskit-ibm-runtime~=0.36.1\n",
     "```\n",
     "</details>"
@@ -101,7 +101,7 @@
     {
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       ],
       "text/plain": [
        "<Figure size 2281.26x1622.06 with 1 Axes>"
@@ -256,7 +256,7 @@
     {
      "data": {
       "text/plain": [
-       "<qiskit.transpiler.passmanager.StagedPassManager at 0x7fee7355a2d0>"
+       "<qiskit.transpiler.passmanager.StagedPassManager at 0x7f9783f72bd0>"
       ]
      },
      "execution_count": 3,
diff --git a/docs/guides/operator-class.ipynb b/docs/guides/operator-class.ipynb
index 191737970a8..a47c9ba4484 100644
--- a/docs/guides/operator-class.ipynb
+++ b/docs/guides/operator-class.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/operators-overview.ipynb b/docs/guides/operators-overview.ipynb
index 05e9077b88a..b1d414ad854 100644
--- a/docs/guides/operators-overview.ipynb
+++ b/docs/guides/operators-overview.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/plot-quantum-states.ipynb b/docs/guides/plot-quantum-states.ipynb
index 76a3fed9795..c665409244f 100644
--- a/docs/guides/plot-quantum-states.ipynb
+++ b/docs/guides/plot-quantum-states.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/pulse.ipynb b/docs/guides/pulse.ipynb
index e794c65b5a3..4d2f4008c2b 100644
--- a/docs/guides/pulse.ipynb
+++ b/docs/guides/pulse.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "qiskit-ibm-runtime~=0.36.1\n",
     "```\n",
     "</details>"
@@ -136,7 +136,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/889520912.py:7: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/889520912.py:7: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend, name=\"hadamard\") as h_q0:\n"
      ]
     },
@@ -144,9 +144,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/889520912.py:9: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/889520912.py:9: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  Gaussian(duration=128, amp=0.1, sigma=16), pulse.drive_channel(0)\n",
-      "/tmp/ipykernel_5320/889520912.py:8: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/889520912.py:8: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(\n"
      ]
     }
@@ -228,7 +228,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1015678639.py:1: DeprecationWarning: The method ``qiskit.circuit.quantumcircuit.QuantumCircuit.add_calibration()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics. Note that once removed, ``qiskit.circuit.quantumcircuit.QuantumCircuit.add_calibration()`` will have no alternative in Qiskit.\n",
+      "/tmp/ipykernel_5372/1015678639.py:1: DeprecationWarning: The method ``qiskit.circuit.quantumcircuit.QuantumCircuit.add_calibration()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics. Note that once removed, ``qiskit.circuit.quantumcircuit.QuantumCircuit.add_calibration()`` will have no alternative in Qiskit.\n",
       "  circ.add_calibration(\"h\", [0], h_q0)\n"
      ]
     }
@@ -259,20 +259,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Instruction(name='cx', num_qubits=2, num_clbits=0, params=[]) (0, 1)\n",
-      "Instruction(name='cx', num_qubits=2, num_clbits=0, params=[]) (1, 0)\n",
       "Instruction(name='id', num_qubits=1, num_clbits=0, params=[]) (0,)\n",
       "Instruction(name='id', num_qubits=1, num_clbits=0, params=[]) (1,)\n",
-      "Delay(duration=t[unit=dt]) (0,)\n",
-      "Delay(duration=t[unit=dt]) (1,)\n",
       "Instruction(name='measure', num_qubits=1, num_clbits=1, params=[]) (0,)\n",
       "Instruction(name='measure', num_qubits=1, num_clbits=1, params=[]) (1,)\n",
+      "Delay(duration=t[unit=dt]) (0,)\n",
+      "Delay(duration=t[unit=dt]) (1,)\n",
+      "Instruction(name='cx', num_qubits=2, num_clbits=0, params=[]) (0, 1)\n",
+      "Instruction(name='cx', num_qubits=2, num_clbits=0, params=[]) (1, 0)\n",
+      "Instruction(name='reset', num_qubits=1, num_clbits=0, params=[]) (0,)\n",
+      "Instruction(name='reset', num_qubits=1, num_clbits=0, params=[]) (1,)\n",
       "Instruction(name='rz', num_qubits=1, num_clbits=0, params=[Parameter(λ)]) (0,)\n",
       "Instruction(name='rz', num_qubits=1, num_clbits=0, params=[Parameter(λ)]) (1,)\n",
       "Instruction(name='sx', num_qubits=1, num_clbits=0, params=[]) (0,)\n",
       "Instruction(name='sx', num_qubits=1, num_clbits=0, params=[]) (1,)\n",
-      "Instruction(name='reset', num_qubits=1, num_clbits=0, params=[]) (0,)\n",
-      "Instruction(name='reset', num_qubits=1, num_clbits=0, params=[]) (1,)\n",
       "Instruction(name='x', num_qubits=1, num_clbits=0, params=[]) (0,)\n",
       "Instruction(name='x', num_qubits=1, num_clbits=0, params=[]) (1,)\n"
      ]
@@ -371,13 +371,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1758347651.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1758347651.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend, name=\"custom\") as my_schedule:\n",
-      "/tmp/ipykernel_5320/1758347651.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1758347651.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  Gaussian(duration=64, amp=0.2, sigma=8), pulse.drive_channel(0)\n",
-      "/tmp/ipykernel_5320/1758347651.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1758347651.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(\n",
-      "/tmp/ipykernel_5320/1758347651.py:6: DeprecationWarning: The method ``qiskit.circuit.quantumcircuit.QuantumCircuit.add_calibration()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics. Note that once removed, ``qiskit.circuit.quantumcircuit.QuantumCircuit.add_calibration()`` will have no alternative in Qiskit.\n",
+      "/tmp/ipykernel_5372/1758347651.py:6: DeprecationWarning: The method ``qiskit.circuit.quantumcircuit.QuantumCircuit.add_calibration()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics. Note that once removed, ``qiskit.circuit.quantumcircuit.QuantumCircuit.add_calibration()`` will have no alternative in Qiskit.\n",
       "  circ.add_calibration(\"my_custom_gate\", [0], my_schedule, [3.14, 1])\n"
      ]
     }
@@ -489,11 +489,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/2463145812.py:13: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/2463145812.py:13: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with builder.build() as custom_sched_q0:\n",
-      "/tmp/ipykernel_5320/2463145812.py:14: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/2463145812.py:14: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  builder.play([0.1] * 160, DriveChannel(0))\n",
-      "/tmp/ipykernel_5320/2463145812.py:14: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/2463145812.py:14: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  builder.play([0.1] * 160, DriveChannel(0))\n"
      ]
     },
@@ -501,7 +501,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/2463145812.py:18: DeprecationWarning: ``qiskit.transpiler.target.InstructionProperties.__init__()``'s argument ``calibration`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and this argument uses a dependency on the package.\n",
+      "/tmp/ipykernel_5372/2463145812.py:18: DeprecationWarning: ``qiskit.transpiler.target.InstructionProperties.__init__()``'s argument ``calibration`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and this argument uses a dependency on the package.\n",
       "  {(0,): InstructionProperties(calibration=custom_sched_q0)},\n"
      ]
     }
@@ -575,7 +575,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1973151745.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1973151745.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(name=\"my_example\") as my_program:\n"
      ]
     },
@@ -653,7 +653,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/501434037.py:3: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/501434037.py:3: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  channel = DriveChannel(0)\n"
      ]
     }
@@ -694,11 +694,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/3624911394.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/3624911394.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(\n",
-      "/tmp/ipykernel_5320/3624911394.py:8: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/3624911394.py:8: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  channel = pulse.drive_channel(0)\n",
-      "/tmp/ipykernel_5320/3624911394.py:9: DeprecationWarning: The function ``qiskit.pulse.builder.num_qubits()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/3624911394.py:9: DeprecationWarning: The function ``qiskit.pulse.builder.num_qubits()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  print(pulse.num_qubits())\n"
      ]
     }
@@ -746,9 +746,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1337470939.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1337470939.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend) as delay_5dt:\n",
-      "/tmp/ipykernel_5320/1337470939.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.delay()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1337470939.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.delay()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.delay(5, channel)\n"
      ]
     }
@@ -875,7 +875,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1496865686.py:8: DeprecationWarning: The class ``qiskit.pulse.library.waveform.Waveform`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1496865686.py:8: DeprecationWarning: The class ``qiskit.pulse.library.waveform.Waveform`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  gaussian = library.Waveform(gaussian_samples, name=\"WF Gaussian\")\n"
      ]
     },
@@ -928,9 +928,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1983464279.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1983464279.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build() as schedule:\n",
-      "/tmp/ipykernel_5320/1983464279.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1983464279.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian, channel)\n"
      ]
     },
@@ -977,9 +977,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/165485598.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/165485598.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build() as schedule:\n",
-      "/tmp/ipykernel_5320/165485598.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/165485598.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play([0.001 * i for i in range(160)], channel)\n"
      ]
     },
@@ -1036,9 +1036,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/3276186557.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/3276186557.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend) as schedule:\n",
-      "/tmp/ipykernel_5320/3276186557.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.set_frequency()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/3276186557.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.set_frequency()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.set_frequency(4.5e9, channel)\n"
      ]
     }
@@ -1072,11 +1072,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/327681344.py:1: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/327681344.py:1: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  d0 = pulse.DriveChannel(0)\n",
-      "/tmp/ipykernel_5320/327681344.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/327681344.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build() as pulse_prog:\n",
-      "/tmp/ipykernel_5320/327681344.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.shift_frequency()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/327681344.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.shift_frequency()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.shift_frequency(1e9, d0)\n"
      ]
     }
@@ -1124,11 +1124,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/4030167415.py:1: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/4030167415.py:1: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  d0 = pulse.DriveChannel(0)\n",
-      "/tmp/ipykernel_5320/4030167415.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/4030167415.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build() as pulse_prog:\n",
-      "/tmp/ipykernel_5320/4030167415.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.set_phase()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/4030167415.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.set_phase()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.set_phase(np.pi, d0)\n"
      ]
     }
@@ -1167,9 +1167,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/2840692844.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/2840692844.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend) as schedule:\n",
-      "/tmp/ipykernel_5320/2840692844.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.shift_phase()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/2840692844.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.shift_phase()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.shift_phase(np.pi, channel)\n"
      ]
     }
@@ -1206,13 +1206,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/988163519.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/988163519.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend) as schedule:\n",
-      "/tmp/ipykernel_5320/988163519.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.acquire_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/988163519.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.acquire_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.acquire(1200, pulse.acquire_channel(0), MemorySlot(0))\n",
-      "/tmp/ipykernel_5320/988163519.py:4: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/988163519.py:4: DeprecationWarning: The class ``qiskit.pulse.channels.Channel`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.acquire(1200, pulse.acquire_channel(0), MemorySlot(0))\n",
-      "/tmp/ipykernel_5320/988163519.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.acquire()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/988163519.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.acquire()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.acquire(1200, pulse.acquire_channel(0), MemorySlot(0))\n"
      ]
     }
@@ -1258,19 +1258,19 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1095120153.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1095120153.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend, name=\"Left align example\") as program:\n",
-      "/tmp/ipykernel_5320/1095120153.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1095120153.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/1095120153.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1095120153.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/1095120153.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1095120153.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1095120153.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1095120153.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1095120153.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1095120153.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1095120153.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1095120153.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n"
      ]
     },
@@ -1326,19 +1326,19 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/624025647.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/624025647.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend, name=\"Right align example\") as program:\n",
-      "/tmp/ipykernel_5320/624025647.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/624025647.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/624025647.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/624025647.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/624025647.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/624025647.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/624025647.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/624025647.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/624025647.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/624025647.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/624025647.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/624025647.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n"
      ]
     },
@@ -1392,19 +1392,19 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1975630487.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1975630487.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend, name=\"example\") as program:\n",
-      "/tmp/ipykernel_5320/1975630487.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1975630487.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/1975630487.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1975630487.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/1975630487.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1975630487.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1975630487.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1975630487.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1975630487.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1975630487.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1975630487.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1975630487.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n"
      ]
     },
@@ -1458,19 +1458,19 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/1927066405.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1927066405.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend, name=\"example\") as program:\n",
-      "/tmp/ipykernel_5320/1927066405.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1927066405.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/1927066405.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1927066405.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/1927066405.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1927066405.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1927066405.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1927066405.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1927066405.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1927066405.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n",
-      "/tmp/ipykernel_5320/1927066405.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/1927066405.py:6: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(1))\n"
      ]
     },
@@ -1524,19 +1524,19 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_5320/869399433.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/869399433.py:1: DeprecationWarning: The function ``qiskit.pulse.builder.build()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.build(backend, name=\"Offset example\") as program:\n",
-      "/tmp/ipykernel_5320/869399433.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/869399433.py:2: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.phase_offset(3.14, pulse.drive_channel(0)):\n",
-      "/tmp/ipykernel_5320/869399433.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/869399433.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/869399433.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/869399433.py:3: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/869399433.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/869399433.py:4: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  with pulse.frequency_offset(10e6, pulse.drive_channel(0)):\n",
-      "/tmp/ipykernel_5320/869399433.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/869399433.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.drive_channel()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n",
-      "/tmp/ipykernel_5320/869399433.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
+      "/tmp/ipykernel_5372/869399433.py:5: DeprecationWarning: The function ``qiskit.pulse.builder.play()`` is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics\n",
       "  pulse.play(gaussian_pulse, pulse.drive_channel(0))\n"
      ]
     },
diff --git a/docs/guides/qiskit-addons-cutting-gates.ipynb b/docs/guides/qiskit-addons-cutting-gates.ipynb
index 31b29b8a6ad..85c22bac84d 100644
--- a/docs/guides/qiskit-addons-cutting-gates.ipynb
+++ b/docs/guides/qiskit-addons-cutting-gates.ipynb
@@ -40,7 +40,9 @@
     },
     {
      "data": {
-      "image/png": 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+      ],
       "text/plain": [
        "<Figure size 1434x294.311 with 1 Axes>"
       ]
@@ -90,7 +92,9 @@
    "outputs": [
     {
      "data": {
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+      ],
       "text/plain": [
        "<Figure size 1634.66x294.311 with 1 Axes>"
       ]
@@ -138,10 +142,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Reconstructed expectation value: 0.50201416\n",
+      "Reconstructed expectation value: 0.4245402\n",
       "Exact expectation value: 0.50497603\n",
-      "Error in estimation: -0.00296187\n",
-      "Relative error in estimation: -0.00586537\n"
+      "Error in estimation: -0.08043583\n",
+      "Relative error in estimation: -0.15928643\n"
      ]
     }
    ],
@@ -230,7 +234,9 @@
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 831.997x294.311 with 1 Axes>"
       ]
@@ -281,7 +287,9 @@
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+      ],
       "text/plain": [
        "<Figure size 913.309x160.533 with 1 Axes>"
       ]
@@ -313,7 +321,9 @@
    "outputs": [
     {
      "data": {
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+      ],
       "text/plain": [
        "<Figure size 913.47x160.533 with 1 Axes>"
       ]
@@ -393,10 +403,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Reconstructed expectation value: 0.5725264\n",
+      "Reconstructed expectation value: 0.54350579\n",
       "Exact expectation value: 0.56254612\n",
-      "Error in estimation: 0.00998027\n",
-      "Relative error in estimation: 0.01774125\n"
+      "Error in estimation: -0.01904034\n",
+      "Relative error in estimation: -0.03384671\n"
      ]
     }
    ],
diff --git a/docs/guides/qiskit-addons-cutting-wires.ipynb b/docs/guides/qiskit-addons-cutting-wires.ipynb
index 242ce8a33af..48df833f449 100644
--- a/docs/guides/qiskit-addons-cutting-wires.ipynb
+++ b/docs/guides/qiskit-addons-cutting-wires.ipynb
@@ -26,7 +26,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 956.385x618.722 with 1 Axes>"
       ]
@@ -93,7 +95,9 @@
    "outputs": [
     {
      "data": {
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       "text/plain": [
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       "text/plain": [
        "<Figure size 974.616x451.5 with 1 Axes>"
       ]
@@ -231,7 +239,9 @@
    "outputs": [
     {
      "data": {
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gbWvkGBdDCQHRp7NwrRG3977cdxUVlY+eKK8lUKsFbG/E94BcUYoDJx49Rw49OfaDumeQT4ft3r0barUaM2bMaHB2TktLS0CDECSXyxEaGoq8vDyMGDEC69evr7NNYWEhQkJCYGtri927d6O0tBRhYWEYM2YM4uLiYGTUuKzZr18/yOXyRu3b3E2aNEmr7XNycrB7925MmzYNjo6OGu0zceLERlYnXbdtFgAmTlrv98XX+xGxWbv/p81RkXkQ0CpU6/3y7pXD3bMnjIWWfVtMLbNAdruVjdr3pdfewZKyX3RekyFjP6gbzs7OOHfuXKP2NcgQFBMTAwAICQlpcJvMzEzgMSGoOvikpqZi4MCB2LdvX71Pj23fvh1ZWVk4efIkOnbsCABwc3NDcHAwDhw4gAkTJjTqPORyObKyNB+b0JIUFxdrsNVfqichKy0t1XhfQ/23a1KthEb1CuUVasP493YoBhr51Ls8RwFU3NF1RfplYgO0a9yuhUUlKLxtAN8DesR+UHwGGYKqpy53d3evd71SqURcXBzwiBBUUFCA0NBQJCQkoE+fPoiKimrwqbCDBw9i0KBBNQEIAIKCguDp6Ykff/yx0SHI2dm5Ufu1BK1aafeTpvoDb2lpqfG+vG+uvTtGFWjMA88WpkrYGcC/d7G5CRo7usnF0QZGgpmOK9IvAca4JagBmfZXr9u0MkZrA/ge0Cf2g7rxJD8rDTIEVX+jNDSFeXh4OBQKBaytrdGpU6c660tKSjBmzBjEx8fDx8cHR44cQZs2bRps78qVK5g8eXKd5d27d8eVK1cafR6NvbzXEmg7XXxSUhJ2796NUaNGoVu3bhrts3HjxkZWJ12f7kzA8vVntd7vq08XYNqz/2qSmvTpdm4pOjzzvdYDg4cPcMWx7alNVpc+TVwajf/FaDe+RyYD/oj9L9xd+dSSNtgPis8gB0ZXp8ILFy7UWZednY0VK1YAAPz8/OrMdlpRUYGJEyciNjYWXl5eiI6Ofuz05Pn5+Wjbtm2d5ba2tsjLy3vCsyHSn5cmdIGlhXazQDvaWuC54R5NVpM+OdlZYtIz2p/Lgik+TVKPGBZO1f5cxgzpyABELZJBhqDql6CuXbsWV69erVkeHx+PkJAQKBRVM+A+PEmiSqXC9OnTcfToUbi5uSE6Ohqurq56rp7q061bN5w9e1bj336ocdrZmOPNlzSbN6va6gV9YG5mOK/PeOtv/mhtpflF8uBejhg7tKMGW7YMTwW6YvgAzfs9C3NjvPuqZhPO0pNhP6h7BhmCwsLCYGdnh5s3b6J79+7o2bMnOnfujMDAQHh6euKpp54C6hkPtGfPHkRGRgIAzMzMMHPmTAwaNKjePw8+tdWuXTvcvVt3JEFeXh5sbW2b/HyJdOndV3vjlcmadbLvvtIbr75gOFdBAKBHZ1v8b+MzaGX5+CDUu5sd9v/7GZiYGE5XamQkQ8S/nsYAP4fHbmthbow9655Cv+6P35aoOTKcT+4D3NzcEBsbi9GjR8PCwgIZGRmwtbXFtm3bEBUVVXN16OEQ9ODcC+np6YiLi2vwT/UrNADAx8en3rE/V65cgY+PYf2AEMv169fx8ssv1wx6p6Yjk8mw9Z1gbH93ILp1qn8sXO9udghfF4LVC/vovT59eHqAK+J2jsGEp9xhZFT3BaG2bczx99k98ct/n4V9OwtRamxKbazNELPjWbz1N3841HN+MhkwekgHnPzvaIwdZjhXwZo79oO6JxMEQRC7CH0qKiqCjY0NZDIZCgsLdfIesPXr1+Ott95Ceno63NzcAABnzpzBgAEDsHfvXknM06CtxgwInDVrFnbu3KnxpeCAgIBGVkfVBEHA8bPZmLA0GoXFlbBpZYqj20IR2NNBMm8PvykvQsSxDLz72XkUlSjRzsYMWdHTYGlhkM+V1FFeocK+nzMwf/UpFJYoYdPaFBf3TEQnN44BelLsB8VnkFeCHuXy5csQBAGdO3fW2YtQ58+fDxcXF4wfPx4HDx5EREQEpk2bhsDAQIwfP14nbRCJQSaT4an+rrBpVTU/lnUrU/T3c5RMAAKADs6tsezFHmjTuurxdysLE8kEIAAwNzPG1FFesLl//tZWpgxAZDAkF4ISEhIADV+XoSkbGxvExMTAxcUFU6dOxd/+9jcEBwfj4MGDjZ4tmoiIiJqWdH6dua8pQhAAeHl54eDBgzo9JhERETUdyV2maKoQRE3LxcUFq1evhouLi9ilEBGJgv2g7knuSlD1e8WoZWnTpg1GjRoldhlERKJhP6h7krsSRC1Tfn4+fvjhB+Tn54tdChGRKNgP6h5DELUIt2/fxrp163D79m2xSyEiEgX7Qd1jCCIiIiJJYggiIiIiSWIIIiIiIkliCKIWwcrKCv3799fZLN9ERC0N+0Hdk9wj8tQydezYEZs3bxa7DCIi0bAf1D1eCaIWQaVSoaioCCqVSuxSiIhEwX5Q9xiCqEVISUnBU089hZSUFLFLISISBftB3WMIIiIiIkliCCIiIiJJYggiIiIiSWIIIiIiIkniI/LUInh7e+PIkSOwtrYWuxQiIlGwH9Q9hiBqEUxMTNCuXTuxyyAiEg37Qd3j7TBqETIzM7F8+XJkZmaKXQoRkSjYD+oeQxC1CEVFRYiNjUVRUZHYpRARiYL9oO4xBBEREZEkMQQRERGRJHFgNIkiICBAq+3d3NywatUqDB8+HC4uLk1WFxGRvrAfFB9DELUILi4ueO+998Qug4hINOwHdY+3w4iIiEiSGIKIiIhIkhiCiIiISJIYgoiIiEiSGIKIiIhIkhiCiIiISJIYgoiIiEiSGIKIiIhIkjhZIumUIAhQlpaLXYZWTCzNIZPJxC6DiIj0jCGIdEpZWo5dXjPFLkMrM9K+hamVhdhlEBGRnvF2GBEREUkSQxARERFJEkMQERERSRJDEBEREUkSQxAR1UsQBGTKi3Hg+HUUlyoBAMWlShyKvYnbuaVil0dE9MT4dBgR1RAEAXG/38bWPUmIPp2FnLyyWuvvFlZg9MKjAID2jlYIHeiGBVN80MfXXqSKiYgajyGIiAAAB45fx//77AIuXc3TaPusnBJ8ue8qvtx3Ff17OuDjpQEYFuDS5HUSEekKQxCJzjmoO0L3rq61rLK4FAXp2UiLOInELw9BUKlFq8/Q5d0rx+KPf8OuqLRGH+NMwh2EzD2EhVN98PHSALS2MtVpjURETYEhiJqN9L2xyIy5AMhksHRoC+/JQxG4eg7adG6P31ZsE7s8g3Q5NR8jXz2MrJwSnRzvs+8Tcey3Wzi6bSTcXa11ckwioqbCgdHUbOQmXEN6ZCzSI07i8tYDiBr9FoqzFOgy/WmY29mIXZ7BSbiahyEvReksAFW7ev0eBs+JwvVbhTo9LhGRrjEEPUAQBMTFxeHNN99EcHAwbG1tYWpqCicnJ4wZMwYHDhwQu0RJUZaW486FFMiMjGDj7iR2OQYl+04JRrx6GHn3muY9bzflxXjmlcMoKKpokuMTEekCQ9ADYmJiMGjQIHzyySc4ffo07Ozs4O/vj/LyckRFRWH8+PGYO3cuBEEQu1TJsPaoCj/ld4vELsVgCIKAV/8ZB7lC88fc43ePw81jUxG/e5zG+6RcL8CKT882skoioqbHEPQAQRDg6emJzZs3IycnBykpKTh37hxyc3OxYcMGyGQyfPXVV9i6davYpRokE0szmNtaw9zOBm27dUT/NX+DXU9P3LmQgoL0bLHLMxi7otJw4MQNrfZxtreCm1MrONtbabXf9ohkRJ/O0rJCIiL94MDoBwQGBiIpKQmmprWfbDE2NsbSpUuRlJSEbdu2Yfv27ViwYIFodRqq3mFT0Ttsaq1lGVGncWblDtFqMjSVlWq8uTFer20uX38WF3+YAJlMptd2iYgex+CvBCkUCoSFhcHb2xsWFhbo0KEDlixZguLiYsydOxcymQxbtmwBANjY2NQJQA8aOXIkACA5OVlv9UtJ8jdHceSF1Tg240Oc++c3KMsrRCsXO6jK/xpXYmRmgvEnNsBvyXO19h20cSGG73pbhKpblgMnruOWjgdCP86lq3n47Y8cvbZJRKQJg74SdPHiRYwaNQpyuRytWrWCr68vbt26hU2bNiEtLQ15eVWTwvXq1Uuj45WVVc2ea2Wl3S0B0kxBuhzZsQkAgKyY33H7bBKe3f9PBK19Bb+8tgEAoK5Q4tTizQjd9z5uHjuP/CvX0TE0AG7P9MP+p94Q+Qyav8/DE0Vp97PvExHci4Pbiah5MdgrQQqFAmPHjoVcLsfy5cuRnZ2NCxcuQC6XY+3atYiKikJ8fDxkMhn8/Pw0OmZ4eDgAYPDgwU1cPQHAnXPJSIs4iU4TBsKhX9ea5bmX0nF56wEM3vQ6rFxsEbTuVZx5awdKb+eLWm9zV1RSiePx4oytOhR7kw8UEFGzY7AhaPHixcjMzMSiRYuwfv16WFv/NXFbWFgY/P39oVQq4eHhARubx89Bc+jQIezfv79mf9KPPzZEQK1UofeKKbWXb4yEWqXCuGPrII/7E9f2x4lWY0txMSkXYuWQu4UVSM/kvEFE1LwYZAhKTExEeHg47O3t8dFHH9W7Td++fQEA/v7+jz1eWloaXnzxReB+uAoODq61vjpsBQYGwtzcnANAdagwQ45r++PgOsQPjv19apYLShXuxCfDwq4NUsOPi1pjS3EhMVfU9s9fUYjaPhHRwwwyBO3evRtqtRozZsxA69at693G0tIS0CAEyeVyhIaGIi8vDyNGjMD69evrbJOamorIyEg4OzsjICBAR2dB1S79u+qqz4NXgxz7+8B7SggSvzyEwPdfgrGFmag1tgQ3ssWda+lGdrGo7RMRPUwmGOCN+kGDBiEuLg7/+9//MH78+Hq3mTBhAvbv34+9e/di4sSJ9W6Tl5eHYcOGISEhAQMHDsTRo0frHRStVqthZFSVJ9977z2sXr1aJ+Mf+vXrB7lc/sTH0SdTwQir1IFN2oaJlQXG/bweV7YdRNL/HcGofe9D8Uca4ld93ajjrTY6i0qZ4b+g9a7Vsyi26F/vuvjd4x45B5CzvSVMjI2gVKkfO8miXFGCgGl1Z1e3LvkZNmUnG1F585Dd9g2ojdrASH0PLnc/FbscvZP6+VPz5ezsjHPnzjVqX4N8Ouz69esAAHd393rXK5VKxMVVjSFp6EpQQUEBQkNDkZCQgD59+iAqKqrBp8KqA5CuyeVyZGW1rInmzGTGQBM/BBTw3iwU3chB0teHAQCnlmzBuOj1uPHTGdw+rf3TT7eyb6FCUDVBpc2Myz3Aov5V1ZMhPo6JsZFG29Wn8F4+ChUt6/u5FmsVYASoVaoW97nUCamfPxkkgwxBxcVVl91LS+v/jTU8PBwKhQLW1tbo1KlTnfUlJSUYM2YM4uPj4ePjgyNHjqBNmzZNXvfDnJ2d9d7mkzIVjIAmvKjS/qne6DRuIPY/vbxmWeH12zj/4S4M3LAQB55aDmWpdu/DcnVxlcSVoEILIxQ0sE6uePTcQdpeCapPW2tjtDJvr3G9zU22sTHUAIyMjeHSvuWeR2NJ/fyp+XqSn5UGGYKcnZ2Rn5+PCxcuICgoqNa67OxsrFixAgDg5+dXZxBzRUUFJk6ciNjYWHh5eSE6Ohr29vZ6rb9aYy/viamypAy7vGY22fGzYn7Hd91m11me9PXhmitD2rqachWmVg1cIjEgR+IyEfrakXrX1Xf76kE3j02Fm1MryBWl6PDM941q/5fDO+HXxbZR+zYHbsN3IyunBC7OLsj8M1PscvRO6udPhskgB0YPHz4cALB27VpcvXq1Znl8fDxCQkKgUFQ9pfLwJIkqlQrTp0/H0aNH4ebmhujoaLi6uuq5eqKm0ddXnDAPABbmxvD1bCta+0RE9THIK0FhYWH47rvvcPPmTXTv3h3dunVDWVkZUlNTMWrUKHh4eODIkSN1xgPt2bMHkZGRAAAzMzPMnNnwFY2IiIgWebuKpMu+nQV6eLfDn6n6n1RycB8nmJgY5O9cRNSCGWQIcnNzQ2xsLFasWIFffvkFGRkZ8PX1xbZt2zBv3jx4eXkB9QyKLi//ayxJeno60tPTG2yj+hUaRC3Jqy90w6I1v+m/3ck+GmxFRKRfBhmCAMDHxwcHDx6ss7yoqAgZGRkwMjJCjx49aq2bM2cO5syZo8cqifTrxTHe+MfGcygqqdRbm66OVhg3rKPe2iMi0pTBhqCGXL58GYIgoEuXLjp9EWpERAQA4MqVK7W+9vDwQL9+/XTWDtGTsGlthuWzemD1F7/rrc135vXirTAiapYk1zMlJFS9pVyT12VoY/LkyZg8eTJ++OGHWl9v2bJFp+1IlfvoARjw8bxay7ynhGBOdgQ6hnKWbm28Nc9fb09phQS44JXJ3fTSFhGRtiR3JaipQpABTrzdrHR8tj/SfjhR83VrNwd0mTEcOeeSRa2rJTIzNcbX/xyM/jN+RKVSs/mRquf+edx8Qg+ybmWKL1cPhpER36VHRM0TQxA1C2Y2Vhh/fAOMLcxQcksBI3NTWHd0QlrEL/jtH/+BU0BXnFpy/6qaTIbgf72GM+98iYBVdecMosfr7WOP3WuH4YUVx6FWPz7AP24eoYeZmxnjwKZn0MnN+gmqJCJqWpILQTExMWKXQPWoKChB+r5YVBaX4dKGCLgO84ff4ufw69+/gOtQf+TEJ0NQVr3aovsrY5ETn4TcSw0/vUeP9/wznbBnHTDtzRMaXxHSRGsrUxzYNBzDAlx0dkwioqYguTFB1HzZ9uiEvIRrAAA7Py/k/Vn1946hAbj+01kAQNuuHeA+uj/+2Bgpaq2G4vlnOiFu5xj4eulmIsPAHg44+904hARyklEiav4YgqjZsO3uURN87Pw8kXs/ELkO64WsmKqnmZz6+6B1B0c8/+tmTDr7ORz6dEbQulfRddYIUWtvyQJ6OOD89+Oxcq4/LMyNG3WM1lam+HhpP8TtHAMfzgxNRC2E5G6HUfNk5WwLCAJK5HkAAFsfd1z6dyTse3fGvZQsKEuqJqdM3nkUyTuP1uwXGrkaV/5zEDcOx4tWuyGwMDfBmiX9sHx2D3y9PwVb9yQi7WbhY/fr4d0OC6b4YOYYL1i3MtNLrUREusIQRM2CbY9ONVeBAKCioBjdZo9EeV4hbhw+K2ptUmLX1gLLZ/fEG7N64PqtIpy/osD5K7mQ55agolINczNjtHe0Qj9fe/T1tYero1WdlxATEbUUDEHULGRGn0dm9Pmarw+O+gcAYPyJDTjy/KoG9zv8iHXUeDKZDB7treHR3hrPP9NJ7HKIiJoEQxA1a/uHLRO7BCIiMlAcGE1ERESSxBBEREREksQQRERERJLEEERERESSxIHRpFMmluaYkfat2GVoxcTSXOwSiIhIBAxBpFMymQymVhZil0FERPRYvB1GREREksQQRERERJLEEERERESSxBBEREREksQQRERERJLEEERERESSxBBEREREksQQRERERJLEEERERESSxBBEREREksQQRERERJLEEERERESSxBBEREREksQQRERERJLEEERERESSxBBEREREksQQRERERJJkInYBZFgEQYCytFzsMrRiYmkOmUwmdhlERKRnDEGkU8rScuzymil2GVqZkfYtTK0sxC6DiIj0jLfDiIiISJIYgoiIiEiSGIKIiIhIkhiCiIiISJIYgoiIHkOtFiAIAnD/CUgiMgx8OoyI6CHXbxUiMjoD5y4rcO6KAinXC2rW3bpTiv7TD6Cvrx2Ceznhuac9YGXJrpSoJeInl4jo/hWeY79lYcvuRETF3oRa3fAVn7N/3sHZP+9g654kvG79G+aM74zXp/vC081GrzUT0ZNhCCLROQd1R+je1bWWVRaXoiA9G2kRJ5H45SEIKrVo9ZHhy8ktxWsf/Iq9P2dove/dwgps/PYyvvghCR8s6oulM7vD2JgjDYhaAoYgajbS98YiM+YCIJPB0qEtvCcPReDqOWjTuT1+W7FN7PLIQEWdvIHZ75xE7t0nm+m8rFyFv//rLCKjM7Bn3VNwc26lsxqJqGnw1xVqNnITriE9MhbpESdxeesBRI1+C8VZCnSZ/jTM7XibgXRvV1Qqxi+JfuIA9KDf/sjBoDkHkZ5ZoMHWRCQmhqCHCIKAuLg4vPnmmwgODoatrS1MTU3h5OSEMWPG4MCBA2KXKBnK0nLcuZACmZERbNydxC6HDMz/YjIw6+2TUKl0/7TX9VtFGD7vMG7lFOv82ESkOwxBD4mJicGgQYPwySef4PTp07Czs4O/vz/Ky8sRFRWF8ePHY+7cuXxMVk+sParCT/ndIrFLIQNyI7sIs94++cjBz0/qWlYhXno3ln0FUTPGEPQQQRDg6emJzZs3IycnBykpKTh37hxyc3OxYcMGyGQyfPXVV9i6davYpRocE0szmNtaw9zOBm27dUT/NX+DXU9P3LmQgoL0bLHLIwMhCALmrz6FwuJKrfaL3z0ON49NRfzucRrvc/TXLHy592ojqiQifeDA6IcEBgYiKSkJpqamtZYbGxtj6dKlSEpKwrZt27B9+3YsWLBAtDoNUe+wqegdNrXWsoyo0zizcodoNZHh+f6ndBz5NUvr/ZztreDmpP1g5zfWn8HEp91h19ZC632JqGlJ4kqQQqFAWFgYvL29YWFhgQ4dOmDJkiUoLi7G3LlzIZPJsGXLFgCAjY1NnQD0oJEjRwIAkpOT9Va/VCR/cxRHXliNYzM+xLl/foOyvEK0crGDqryiZhsjMxOMP7EBfkueq7XvoI0LMXzX2yJUTS3Nv3dd1mt7hcWV+Hp/il7bJCLNGHwIunjxInr27Il169ZBLpfD19cXlZWV2LRpE6ZMmYLExEQAQK9evTQ6XllZGQDAysqqSeuWooJ0ObJjE5AV8zv+/Hw/fp79Mex7eSFo7Ss126grlDi1eDN6Ln4O7XzdAQAdQwPg9kw/xL3xuYjVU0tw/ooCZxLu6L3drXsSm3T8ERE1jkGHIIVCgbFjx0Iul2P58uXIzs7GhQsXIJfLsXbtWkRFRSE+Ph4ymQx+fn4aHTM8PBwAMHjw4Caunu6cS0ZaxEl0mjAQDv261izPvZSOy1sPYPCm12HlYougda/izFs7UHo7X9R6qfn75sdUUdpNu1mIXy/eFqVtImqYQYegxYsXIzMzE4sWLcL69ethbW1dsy4sLAz+/v5QKpXw8PCAjc3j56E5dOgQ9u/fX7M/Nb0/NkRArVSh94optZdvjIRapcK4Y+sgj/sT1/bHiVYjtRxn/9T/VaBq8ZcVorVNRPUz2BCUmJiI8PBw2Nvb46OPPqp3m759+wIA/P39H3u8tLQ0vPjii8D9cBUcHFxrfUREBJ5//nm4u7vDysoK3bp1w9tvv42iIj7a/SQKM+S4tj8OrkP84Njfp2a5oFThTnwyLOzaIDX8uKg1UsugVKpxMTlXtPbPX2EIImpuDDYE7d69G2q1GjNmzEDr1q3r3cbS0hLQIATJ5XKEhoYiLy8PI0aMwPr16+tss379ehgbG2PNmjX46aef8Nprr2Hr1q0IDQ2FWs33Xj2JS/+uuurz4NUgx/4+8J4SgsQvDyHw/ZdgbGEmao3U/F3LKkRpmUq09i+n8XYtUXNjsI/Ix8TEAABCQkIa3CYzMxN4TAiqDj6pqakYOHAg9u3bV+/TYz/++CMcHBxqvh46dCgcHBwwY8YMnDp1CkOGDNH6HPr16we5XK71fmIyFYywCoFa7SP/7TK+dpnU4Pp7KVnY6fZXADKxssCgjQtx/sNdSPq/Ixi17330WTkd8au+blTNXTp3QaWMQdXQVRg7A21eq3dd/O5xcLZ/9MMOzvaWNf+9eWxqg9vJFSUImFZ3ZvmEyylwc3PTuu7mIrvtG4BRG2TLs1v0eZDhcXZ2xrlz5xq1r8GGoOvXrwMA3N3d612vVCoRF1c1jqShEFRQUIDQ0FAkJCSgT58+iIqKavCpsAcDULV+/foBALKytJ+TBPevQDV2X7GYyYyBJn7DRcB7s1B0IwdJXx8GAJx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+      ],
       "text/plain": [
        "<Figure size 723.984x367.889 with 1 Axes>"
       ]
@@ -322,10 +332,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Reconstructed expectation value: 1.55984855\n",
+      "Reconstructed expectation value: 1.38475823\n",
       "Exact expectation value: 1.59099026\n",
-      "Error in estimation: -0.03114171\n",
-      "Relative error in estimation: -0.01957379\n"
+      "Error in estimation: -0.20623202\n",
+      "Relative error in estimation: -0.12962494\n"
      ]
     }
    ],
@@ -386,7 +396,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
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0yAQoZXIAQKt3BiI98gYexyYJXTYRERERkVoM4wEW0gi71s2RGXcHAGAf4InMq0/+v2m/jrh78CIAoKFvE7gPCEbM8u2C1kpEREREVBtG1yJE1bNr1aw8/NgHeOD+4UgAgMuLbRC1YCMAwDHYD/WbNMbwP78FAFg5NETnJe/CqrEtEsKOCFg9EREREVHNMQgRAEDiZAcolShMywQA2Pm5I3bFdjRq642cWw8gKywGACSEHakQePptn4/rP+3DvUORgtVORERERKQqBiECnnaL+6s1CABKcwvQYlxflGTm4d6hi4LWRkRERESkaQxCBABIOXYJKcculf+8r/9HAIDBp5bh8PC51a536DnziIiIiIj0FYMQPdfuF6cLXQIRERERkcZx1DgiIiIiIjI6DEJERERERGR0GISIiIiIiMjo8BkhA2NqZYHRiRuFLkMlplYWQpdAREREREaGQcjAiEQimEkshS6DiIiIiEivsWscEREREREZHQYhIiIiIiIyOgxCRERERERkdBiEiIiIiIjI6DAIERERERGR0WEQIiIiIiIio8MgRERERERERodBiIiIiIiIjA6DEBERERERGR0GISIiIiIiMjoMQkREREREZHQYhIiIiIiIyOgwCBERERERkdFhECIiIiIiIqPDIEREREREREaHQYiIiIiIiIwOgxARERERERkdBiEiIiIiIjI6pkIXQJqlVCohKyoRugyVmFpZQCQSCV0GERERERkRBiEDIysqwSbPMUKXoZLRiRthJrEUugwiIiIiMiLsGkdEREREREaHQYiIiIiIiIwOgxARERERERkdBiEiIiIiIjI6DEJERERERGR0GISIiIiIiMjoMAgREREREZHR4XuECE6dW6HfjvkVppUVFCE3KRWJ284gft0BKOUKweojIiIiItI0BiEql7QjHCknogGRCFYODeH1WncEzR+PBt6uODdzjdDlERERERFpDIMQlXscdwdJ28PLf05YfxhDw1fAZ1QvRH+1BSWPcwWtj4iIiIhIU/iM0DP27NmDyZMnIygoCK6urrCwsIC1tTXatGmD2bNnQyqVCl2izsiKSpARfQsisRg27o5Cl0NEREREpDFsEXrGN998g9OnT8Pc3BwuLi4ICAhAeno6YmNjERMTg7Vr1+LIkSNo06aN0KXqhHWzJwGoJDtf6FKIiIiIiDSGLULPmDhxIo4fP468vDzcuXMHkZGRuHv3LmJiYtC6dWtkZGRg1KhRQpepFaZW5rCws4aFvQ0atmiK4IVvwd7fAxnRt5CblCp0eUREREREGsMWoWeMHTu2yun+/v5Yt24dgoODER8fj/j4ePj5+em8Pm1qO2sk2s4aWWFa8v7zuPDxWsFqImHl5pfi1323cTb6EQqKZLCuZ4benVwwoq8HJFb8+CAiIsN3MzkH63Ym4Pa9PMgVCjg1kmBUfw+80N4JIpFI6PKoFgz+SkYqlWLx4sXYsWMHUlJS4ODggGHDhmHhwoUIDQ3Fzz//jG+//RbTpk371239M/gUFhZquXLdS/j1CJL3noPYzBS2LZqi9dQhqOdsD3lJafkyYnNTDDyyBHd2hiN2xY7y6V2XT4WlQ0McG/2FQNWTJpWWyfHR8kj8uC0BBUWyCvM2H0jEjKUXEDqqFf73ThuYmLBhmYiIDM/te7mY/HkEjp1/WGnemj9uoJVnQ3wzMxh9urgJUh/VnkEHoStXrqB///5IS0tDvXr10LJlSzx8+BArV65EYmIiMjMzAaDGz/tEREQAAOrVqwdfX1+t1i6E3KQ0pIbHAQAenLiMRxdv4OXdC9B50Ts4PXkZAEBRKsPZ0G/Rb+dnuH/0ErKu30XTfh3h9lIH7O75gcBHQJpQUirHK9OOVPnB/1RWbinmr76MG8nZ2PTliwxDRERkUOJuZqLn2wchzSqudplridl4eeoR/PpFd7zxsqdO6yPNMNirF6lUioEDByItLQ0zZsxAamoqoqOjkZaWhkWLFmH//v2IjIyESCRCQEBAtdtRKBRITU1FWFgYxo8fDwBYuHAh6tevr8OjEUZGVAISt51B8yEhcOjwd/B7HJuEaz/swQsr34PE2Q6dl7yLC7PXouhRlqD1kmZM/eLP54agf9p66A7mrIrWek1ERES6kp1bgv5TDj83BD0llysx7tMziLyaoZPaSLMMNgiFhoYiJSUF06ZNw9KlS2FtbV0+b9asWQgMDIRMJkOzZs1gY2NTaf3Vq1dDJBLBxMQELi4uGDduHNzc3LB3716Ehobq+GiEE7NsGxQyOdrOHFFx+vLtUMjlGHR0CdIiruLO7gjBaiTNuZ+Wj19231JpnZWbryE3v7QGSxIREem/DXtu4UF6zR+BKJMpsGR9nFZrIu0wyCAUHx+PrVu3olGjRvjyyy+rXKZ9+/YAgMDAwCrnOzs7IyQkBMHBwXBxcYFIJEJsbCw2b96MnJycCss+DVxBQUGwsLAwqAfn8pLTcGd3BFy6BaBx8N/PSCllcmREJsDSvgFubz0paI2kOT9uS4BCoVRpnfxCGTbuu621moiIiHRFqVTi+603VF5v5/FkPEwv0EpNpD0GGYS2bNkChUKB0aNHV9uFzcrKCnhOEBo8eDDOnj2L8+fP48GDB4iJiUGnTp2wZcsWDBgwoMKyt2/fxvbt2+Hk5ISOHTtq4YiEFbviSevPP1uFGgf7wWtED8SvO4CgzybAxNJc0BpJMw5FpKi13sGz6q1HRESkT5If5OPm3ZwaLFmRTK7E8Qs161ZO+kOkVCpVu/1bB3Tt2hURERHYtWsXBg8eXOUyQ4YMwe7du7Fjxw4MHTq0RtvNy8uDh4cHpFIpjh49it69ewN/PUckFj/JlPPmzcP8+fOhiV9rhw4dkJaWptI6Zkox5iqCar3v5zGVWGLQ8aW4vmYfbmw4jP47P4M0JhGRc9ertb354osoEyk0XqcmpTb8AApxA4gVOXDO/kbocrQmrcF7kJs0Unk987K7cMj7WSs1ERGRfjCG78JSEydkNJis1roNCg6gfskFjddE/87JyQlRUVEqr2eQo8bdvXsXAODu7l7lfJlMVj4CXHUtQlWxtrZG9+7dsX37dsTExJQHoachSNPS0tLw4MEDldYxF5kAjlopp1zHeWORfy8dN9YfAgCcff87DDq2FPcOXsCj8/Eqb+9h6kOUKuVaqFSDrOWAGFDI5Sr/TeoUq0LASvXVSotzDfv3QkRExvFdaC4DGqi3ak7WI+RkGejvxUAZZBAqKHjSR7OoqKjK+Vu3boVUKoW1tTWaN2+u0rZlsifvVJHLtX/h7uTkpPI6ZkoxoMXGFdeebdF8UAh295pRPi3v7iNc+mITQpZNxZ6eMyArKlFpmy7OLvrfImRiAgUAsYkJnF1dhS5Ha7JE6ShEU5XXszZ9DBsD/r0QEZFxfBcqYYI0RT4UYhVGB1YqAZEIja0LYSYxzN+LvlPnmhmGGoScnJyQlZWF6OhodO7cucK81NRUzJw5EwAQEBCg0sAGmZmZOH36NKDCu4dqQ50mvrLCYmzyHKOVevDX+4U2txhXafqN9YfKW4hUdfPWTZhJLDVQnfa49d6CB+mFcHZyRspVw30e5sqNx2j7+i6V1jExEeF6+Gq4OdXTWl1ERCQ8Y/kunL0iCl+ui6n5CiIRXmjniDPr+TqJusYgB0t42mVt0aJFuHnzZvn0yMhI9OjRA1KpFKgizERFRWHOnDm4fbvyCFiXL19G//79kZ2dDX9/f/Tq1Uvrx0Gka21a2KN7B9Xuqrz6UjOGICIiMhjvvOYLSwsTldb5vzGttVYPaY9BBqFZs2bB3t4e9+/fR6tWreDv7w9vb28EBQXBw8MDPXv2BKp4Pig/Px8LFiyAt7c3HB0d0aFDBwQHB8PV1RXt2rXDxYsX4ePjg127dsHERLV/IER1xZZFPeDuUrMuAf7etlj9aYjWayIiItIVdxdrbFzYHWJxzXoN/XecP4b1bqb1ukjzDDIIubm5ITw8HAMGDIClpSWSk5NhZ2eHNWvWYP/+/eWtRM8GocDAQKxYsQJDhgyBjY0Nbt68icuXL0Mul6N3795YtWoVYmJi4OHhIdCREWmfs4MEERteQefAxs9drm8XV5z+ZQAa2ljorDYiIiJdGP5Sc+xZ2Rv2Dav/jrMwN8Hn09pj8QeG9+oUY2GQzwgBgJ+fH/bt21dpen5+PpKTkyEWi9G6dcVmTFtbW4SGhiI0NFSHlRLpH1fHeogIewXnY9Px/dZ4bDmQBLlCCROxCG8O88Hk1/3QpoW90GUSERFpzYBuTZFydCS2HU3GT9sTcPbyIygUSpiZivDFex0wYYgPGtnq9zPO9HwGG4Sqc+3aNSiVSvj4+EAikWhsu9u2bQMAXL9+vcLPzZo1Q4cOHTS2HyJdEYlE6BzoiM6Bjjh5MRUP0gvh1MgKa+Z0Fbo0IiIinbC0MMWYV7ww5hWv8sEiGttZYeaEAKFLIw0wuiAUFxcHqPj+oJp47bXXqvx53LhxWL9evReN6hP3AZ3g/II/zn/0U/k0rxE90HX5VJyYsAj3DkUKWh8RERERkSoYhDREqVRqdHv6punLwUj841T5z/XdHOAzujfSoxIErYuIiIiISB0MQgQAMLeRYPDJZTCxNEfhQynEFmawbuqIxG2nce6jn+DY0Rdn3//uycIiEbp8PRkXPl2HjnMrv1OIiIiIiEjfGV0QOnHihNAl6KXS3EIk7QxHWUExYpdtg8uLgQgIHYY//7saLt0DkR6ZAKVMDgBo9c5ApEfewOPYJKHLJiIiIiJSi0EOn03qsWvdHJlxdwAA9gGeyLz65P+b9uuIuwcvAgAa+jaB+4BgxCzfLmitRERERES1YXQtQlQ9u1bNysOPfYAH7h9+MgCCy4ttELVgIwDAMdgP9Zs0xvA/vwUAWDk0ROcl78KqsS0Swo4IWD0RERERUc0xCBEAQOJkByiVKEzLBADY+bkjdsV2NGrrjZxbDyArLAYAJIQdqRB4+m2fj+s/7eOocURERERUpzAIEfC0W9xfrUEAUJpbgBbj+qIkMw/3Dl0UtDYiIiIiIk1jECIAQMqxS0g5dqn85339PwIADD61DIeHz612vUPPmUdEREREpK8YhOi5dr84XegSiIiIiIg0jqPGERERERGR0WEQIiIiIiIio8MgRERERERERodBiIiIiIiIjA4HSzAwplYWGJ24UegyVGJqZSF0CURERERkZBiEDIxIJIKZxFLoMoiIiIiI9Bq7xhERERERkdFhECIiIiIiIqPDIEREREREREaHQYiIiIiIiIwOgxARERERERkdBiEiIiIiIjI6DEJERERERGR0GISIiIiIiMjoMAgREREREZHRYRAiIiIiIiKjwyBERERERERGh0GIiIiIiIiMDoMQEREREREZHQYhIiIiIiIyOgxCRERERERkdBiEiIiIiIjI6DAIERERERGR0TEVugDSLKVSCVlRidBlqMTUygIikUjoMoiIiIjIiDAIGRhZUQk2eY4RugyVjE7cCDOJpdBlEBEREZERYdc4IiIiIiIyOgxCRERERERkdBiEiIiIiIjI6DAIERERERGR0WEQIiIiIiIio8MgRERERERERodBiIiIiIiIjA7fI0Rw6twK/XbMrzCtrKAIuUmpSNx2BvHrDkApVwhWHxERERGRpjEIUbmkHeFIORENiESwcmgIr9e6I2j+eDTwdsW5mWuELo+IiIiISGMYhKjc47g7SNoeXv5zwvrDGBq+Aj6jeiH6qy0oeZwraH1ERERERJrCZ4SqsGfPHkyePBlBQUFwdXWFhYUFrK2t0aZNG8yePRtSqVToEnVCVlSCjOhbEInFsHF3FLocIiIiIiKNYYtQFb755hucPn0a5ubmcHFxQUBAANLT0xEbG4uYmBisXbsWR44cQZs2bYQuVeusmz0JQCXZ+UKXQkRERESkMWwRqsLEiRNx/Phx5OXl4c6dO4iMjMTdu3cRExOD1q1bIyMjA6NGjRK6TI0ztTKHhZ01LOxt0LBFUwQvfAv2/h7IiL6F3KRUocsjIiIiItIYtghVYezYsVVO9/f3x7p16xAcHIz4+HjEx8fDz89P5/VpS9tZI9F21sgK05L3n8eFj9cKVhOR0ORyBSKvSpGeWQRTUzF83BvAq6mN0GURERHpTHZuCaKuS5FfWIb6EjN0aNkIDW0shC6r1owiCEmlUixevBg7duxASkoKHBwcMGzYMCxcuBChoaH4+eef8e2332LatGn/uq1/Bp/CwkItV65bCb8eQfLecxCbmcK2RVO0njoE9ZztIS8pLV9GbG6KgUeW4M7OcMSu2FE+vevyqbB0aIhjo78QqHoizcrKLcGP225g9e83kPywYtfQHh2dMWWEH4a/1AwikUiwGomIiLQp7mYmVm6+hs0HklBYLCufLrE0xaiXPRA6qhX8fewErbE2DD4IXblyBf3790daWhrq1auHli1b4uHDh1i5ciUSExORmZkJADV+3iciIgIAUK9ePfj6+mq1dl3LTUpDangcAODBict4dPEGXt69AJ0XvYPTk5cBABSlMpwN/Rb9dn6G+0cvIev6XTTt1xFuL3XA7p4fCHwERJqRlJKLfpMP49bdqkdKPBmZipORqfjPK15YN/8FmJmxlzERERmW3w4mYtynZ1BaVvldkoXFMqzdcRNhe29jw+fdMLK/pyA11pZBf3tLpVIMHDgQaWlpmDFjBlJTUxEdHY20tDQsWrQI+/fvR2RkJEQiEQICAqrdjkKhQGpqKsLCwjB+/HgAwMKFC1G/fn0dHo3uZUQlIHHbGTQfEgKHDn+HvsexSbj2wx68sPI9SJzt0HnJu7gwey2KHmUJWi+RJqQ/LsJLkw5VG4L+6dd9t/Hu5xFQKpU6qY2IiEgX9p2+h9Efn64yBP1TaZkCoz8+jf1n7umsNk0y6CAUGhqKlJQUTJs2DUuXLoW1tXX5vFmzZiEwMBAymQzNmjWDjU3lPv+rV6+GSCSCiYkJXFxcMG7cOLi5uWHv3r0IDQ3V8dEII2bZNihkcrSdOaLi9OXboZDLMejoEqRFXMWd3RGC1UikSV+ui0FSSl6Nl/95502cj03Xak1ERES6IpMpMOWLP6FQ1Owmn0KhxJQv/oRc/vzQpI8MNgjFx8dj69ataNSoEb788ssql2nfvj0AIDAwsMr5zs7OCAkJQXBwMFxcXCASiRAbG4vNmzcjJyenwrLbtm3D8OHD4e7uDolEghYtWuCTTz5Bfn7dHnY6LzkNd3ZHwKVbABoH//18lFImR0ZkAiztG+D21pOC1kikKYVFMqzffUvl9b7fGq+VeoiIiHRtf/h93E8rUGmde6kFOBCeorWatMVgg9CWLVugUCgwevToaruwWVlZAc8JQoMHD8bZs2dx/vx5PHjwADExMejUqRO2bNmCAQMGVFh26dKlMDExwcKFC3Hw4EFMnjwZP/zwA/r16weFou4l5H+KXfGk9eefrUKNg/3gNaIH4tcdQNBnE2BiaS5ojUSasOfUXWTnldZgyYp+P3wHBYVlWqmJiIhIlzbsUf2GIAC1biQKTaQ00M7tXbt2RUREBHbt2oXBgwdXucyQIUOwe/du7NixA0OHDq3RdvPy8uDh4QGpVIqjR4+id+/eAICMjAw4ODhUWHbz5s0YPXo0Tp8+jW7duql8DB06dEBaWppK65gpxZirCFJ5X6owlVhi0PGluL5mH25sOIz+Oz+DNCYRkXPXq7W9+eKLKBPpd1hMbfgBFOIGECty4Jz9jdDl6JyxHH+eZQhyJX3UWtcxexlMFdkar4mISF8Yy3dBdYzl+NNtJqHM1FXl9cxkKWic+5NWavo3Tk5OiIqKUnk9gx017u7duwAAd3f3KufLZLLyEeCqaxGqirW1Nbp3747t27cjJiamPAg9G4LwV5ABgAcPHqh1DGlpaSqvay4yARzV2l2NdZw3Fvn30nFj/SEAwNn3v8OgY0tx7+AFPDqvehehh6kPUaqUa6FSDbKWA2JAIZer/fes04zl+BtlAxL1Vn2UlgqUZWq6IiIi/WEs3wXVMZbjtyxVKyGUlZbWud+LwQahgoInfRuLioqqnL9161ZIpVJYW1ujefPmKm1bJnsyjrpc/vyL95Mnnzw7o+5LV52cnFRex0wpBrTYuOLasy2aDwrB7l4zyqfl3X2ES19sQsiyqdjTcwZkRSUqbdPF2UX/W4RMTKAAIDYxgbOr6ndJ6jpjOf5Cc0CtsQ+VMjg3toEYVpoviohITxjLd0F1jOX4H5sWoViN9SxNi2Av0O9FnWtmGHLXuJYtWyI+Ph7fffcdpk6dWmFeamoq2rdvj9TUVISEhODs2bM13m5mZiY8PT2RnZ2Nw4cPo0+fqrvRPHjwAG3btkX79u1x8ODBWh9PTZUVFmOT5xid7U8TRiduhJnEUugynsut9xY8SC+Ea2MJUo69IXQ5Omcsx19YJIPbS1uQlavac0JjB3phwxfdtVYXEZE+MJbvguoYy/HvPXUPg0KPqrzevu9ewoBuTbVSk7YY7GAJT7usLVq0CDdv3iyfHhkZiR49ekAqlQJVvEg1KioKc+bMwe3btytt8/Lly+jfvz+ys7Ph7++PXr16Vbnv/Px8DB48GObm5vj55581fGREpC0SK1NMGOKj8npTRqjX6ktERKRvXn7BDU2d66m0TjOX+ugX4qa1mrTFYIPQrFmzYG9vj/v376NVq1bw9/eHt7c3goKC4OHhgZ49ewJVPB+Un5+PBQsWwNvbG46OjujQoQOCg4Ph6uqKdu3a4eLFi/Dx8cGuXbtgYmJSab9FRUUYOHAg7ty5gyNHjsDZ2Vlnx0xEtffxm4Hwdq/8XrHqTHrVF0H+lZ8RJCIiqotMTMRY87+uMDER1XB5EVb/LwQmJnUvVtS9imvIzc0N4eHhGDBgACwtLZGcnAw7OzusWbMG+/fvL28lejYIBQYGYsWKFRgyZAhsbGxw8+ZNXL58GXK5HL1798aqVasQExMDDw+PSvssKyvDq6++iqioKBw8eBAtW7bU2fESkWY0srXE0TX90KJ5g39dduJQH6ya3QUiUc2+LIiIiOqCfl3d8NuiHrAwf35UsDAX47dFPdC3DrYGwZAHS8BfgxTs27ev0vT8/HwkJydDLBajdevWFebZ2toiNDQUoaGhKu3r6TuLjh8/jgMHDiAoSLtDWBOR9ri7WOP8xkFYtzMBP/x+A7fv5VaY36eLK6aO8MPAF5syBBERkUF6tU9ztPKyxXdbriNs7y3kF8rK59WXmGLsQG9Me6Ml/DwaClpnbRh0EKrOtWvXoFQq4ePjA4lEzbFynzF16lT88ccf+OijjyCRSHD+/PnyeZ6enlUOr01E+quBtTk+GOuP/xvTGtHxUvR79zAe55TA0d4Sh1f3E7o8IiIirfPzaIhVn3TBV//XAR79f4c0uwSNGlog6eDrsK5nLnR5tWawXeOeJy4uDlDx/UH/5unIcF999RU6d+5c4b/9+/drbD9CcR/QCZ2+ervCNK8RPTA+dRua9usoWF1E2iYWi9ChlQMsLZ48E2haB/tAExER1YZ1PXNYmD/5HrQwNzGIEARjbRHSRhBKTk7W2Lb0UdOXg5H4x6nyn+u7OcBndG+kRyUIWhcRERERkToYhAgAYG4jweCTy2BiaY7Ch1KILcxg3dQRidtO49xHP8Gxoy/Ovv/dk4VFInT5ejIufLoOHeeOE7p0IiIiIiKVGWUQOnHihNAl6J3S3EIk7QxHWUExYpdtg8uLgQgIHYY//7saLt0DkR6ZAKVMDgBo9c5ApEfewOPYJKHLJiIiIiJSCzu7Uzm71s2RGXcHAGAf4InMq0/+v2m/jrh78CIAoKFvE7gPCEbM8u2C1kpEREREVBtG2SJEVbNr1aw8/NgHeOD+4UgAgMuLbRC1YCMAwDHYD/WbNMbwP78FAFg5NETnJe/CqrEtEsKOCFg9EREREVHNMQgRAEDiZAcolShMywQA2Pm5I3bFdjRq642cWw8gKywGACSEHakQePptn4/rP+3DvUORgtVORERERKQqBiECnnaL+6s1CABKcwvQYlxflGTm4d6hi4LWRkRERESkaQxCBABIOXYJKcculf+8r/9HAIDBp5bh8PC51a536DnziIiIiIj0FYMQPdfuF6cLXQIRERERkcZx1DgiIiIiIjI6DEJERERERGR0GISIiIiIiMjoMAgREREREZHR4WAJBsbUygKjEzcKXYZKTK0shC6BiIiIiIwMg5CBEYlEMJNYCl0GEREREZFeY9c4IiIiIiIyOgxCRERERERkdBiEiIiIiIjI6DAIERERERGR0WEQIiIiIiIio8MgRERERERERodBiIiIiIiIjA6DEBERERERGR0GISIiIiIiMjoMQkREREREZHQYhIiIiIiIyOgwCBERERERkdFhECIiIiIiIqPDIEREREREREaHQYiIiGokOzsb8+bNw6lTp4Qupc7IycnBe++9B1dXV1haWqJVq1b44YcfoFQqhS5NLTwHVJOamopPPvkE/fr1g4ODA0QiEcaPHy90WUT0FwYhIiKqkezsbMyfP58XwTVUWlqKl156CatXr8aIESPw7bffwtfXF1OmTMH8+fOFLk8tPAdUk5CQgIULF+L69evo2LGj0OUQ0TNMhS6AiIjIEK1duxaRkZFYuXIl3nvvPQDA22+/jeHDh2PhwoWYMGEC3N3dhS6TtKh9+/ZIT0+Hg4MDpFIpHBwchC6JiP6BLUIGRqlUoqywuE79V1e7iBDpu9LSUixevBht2rSBRCJBgwYN0KFDB3z33Xfly4wfPx4ikajK9f/ZjefUqVNo3rw5AGD+/PkQiUQQiURo1qyZSjU93eaJEyfQuXNnSCQSuLm5YdGiRQCArKwsvPnmm2jcuDEkEgleeeUVPHz4sNJ2kpOT8Z///AeOjo6wsLCAp6cnZs+ejcLCwvJlfvjhB4hEIuzZs6fS+gqFAm5ubmjTpk2F6VFRURg6dCgaNWoECwsL+Pr64osvvoBMJlPpOAFg8+bNkEgkePvttytM/7//+z+UlZVh69atKm9TVTwHhD0HrK2tGX6I9BhbhAyMrKgEmzzHCF2GSkYnboSZxFLoMogMSmlpKfr27YtTp06hT58+GDNmDCwtLREXF4cdO3Zg2rRpKm3Pz88Py5Ytw/Tp0zF06FAMGzYMAFC/fn2Va7t8+TL27t2LSZMmYezYsfj999/x0UcfwdLSEhs2bECzZs0wb9483L59GytXrsTYsWNx7Nix8vXv3r2LoKAg5OTkYMqUKfD29sapU6fw5ZdfIiIiAsePH4epqSlGjhyJ6dOnIywsDIMGDapQw/Hjx/HgwQPMmDGjfNr+/fsxbNgweHl5YcaMGbCzs8O5c+cwZ84cXLlyBX/88UeNj1GhUCA6Ohrt2rWDpWXFz7egoCCIRCJERkaq/LtTBc8BYc8BItJ/DEJERAZo+fLlOHXqFD7++GMsXLiwwjyFQqHy9hwdHTFkyBBMnz4dAQEBGDNG/RsucXFxOHfuHIKDgwEAb775Jtzd3TF9+nRMmzYNK1eurLD8smXLkJCQAF9fXwDA7NmzkZGRgf379+Pll18GAEyZMgUzZ87E0qVLsWHDBrz55puwtbXFwIEDsXfvXmRlZcHW1rZ8m2FhYTA1NcXo0aMBAMXFxXjzzTcRHByMEydOwNT0ydfjO++8g8DAQHzwwQc4deoUXnzxxRodY1ZWFoqKiuDq6lppnoWFBRo1aoQHDx6o/TusCZ4Dwp4DRKT/2DWOiMgAbdq0Cba2tpgzZ06leWKxsB/9nTt3Lr8ABgBzc3MEBQVBqVQiNDS0wrIvvPACAODWrVvAXxfwe/bsQdu2bcsvgJ/6+OOPIRaLsXPnzvJp48aNQ0lJSYVuaPn5+di5cyf69euHxo0bAwCOHj2KR48eYcKECcjOzoZUKi3/7+l+jhw5UuNjfNo9y8LCosr5lpaWFbpwaQPPgSeEOgeISP+xRYiIyADdunULbdq0qdQtSx94eHhUmvb0Tv3TZ1Cenf748WMAQEZGBvLz89GqVatK27Czs4OzszOSkpLKpz290A0LC8O7774LANi+fTsKCgowduzY8uXi4+MBABMnTqy27kePHtX4GCUSCQCgpKSkyvnFxcXly2gLz4EnhDoHiEj/MQgRERmx6h6SV+fB8JoyMTFReZ66g6qYmppi1KhRWL58OW7fvg0vLy+EhYXB1ta2wjMjT7e/ZMmSSg/PP+Xi4lLj/dra2sLKyqrK7m8lJSWQSqXo3r27WsekaTwHKm5fU+cAEek/BiEiIgPk4+ODGzduoKSkpNruWfjrDjoAZGZmlv8/gAp31J+q7oJZlxwcHGBtbY1r165VmpeVlYXU1NRKF7Hjxo3D8uXLERYWhrfffhunTp3CpEmTKvxevL29AQD16tVD7969a12nWCxGu3btcPny5Up/g4sXL0KpVKJDhw613s/z8Bz4mxDnABHpPz4jRFSFwiIZzsU8wndbruOdz84iM+dJ95as3BIsXR+HkxcfIievVOgytUahUOJmcg62HEjEzK8vlh9/Zm4JPl4RiW1H7uBOSp5BD32emVOCo+ce4Kt1MZg450z57yA7rxRr/riBqGsZKCmVC11mtUaPHo2srCx8/vnnleb98+/m4+MDABVG5AKAr7/+utJ6T0cHy8zM1ELFNSMWizFw4EBcvnwZhw4dqjDvq6++gkKhwNChQytMb9OmDQICArBx40b8+uuvUCgUGDduXIVl+vbti8aNG+Orr76q8viKioqQl5enUq1vvPEGCgsL8eOPP1aYvnz5cpiammLEiBEqbU9VPAf+JtQ5UNc9elyEA+H3sWDNZYz/tOLn4M87byIm4THKylQfeKOuKCqW4UJsOr7/7TomL4iocC2w+OdYHD//EFm5VXd/NQRKpRKJ93Px++EkfLjsIjJz/74W+HDZRfx+OAmJ93Pr9LUAW4SI/qJUKnExLgPfb43H1sN3qrzILSyWY+Y3FwEAYrEIr3Rrgqkj/dC7kyvEYuHvlNZW+uMirNt5E2u23cDdh/mV5hcVy/HVutjyn32bNcDk11tg3CBvNLSp/o5zXSGTKbDvzD18vzUeR89Vfm8JABQUyfDugggAQD0rU/znFS9MGeEHfx+7KpcXyvvvv4+9e/fi888/R2RkJPr06QNLS0tcu3YNCQkJ5Re9b7zxBmbPno1Jkybhxo0bsLOzw6FDhyCVSitt097eHl5eXvjtt9/g6ekJR0dH1KtXDwMHDtTpsS1cuBBHjx7FkCFDMGXKFHh5eeHMmTPYunUrunXrVukCF3+1CMyYMQOLFi2Cj48POnXqVGF+vXr1EBYWhiFDhsDX1xcTJ06El5cXsrOzcePGDezYsQM7d+5UacSwt99+G7/88gs++OADJCcnw8/PDwcOHMDOnTvx6aefqvz+HVXxHKhIiHMAQHkQfTo4RmxsbPm0bt26oVu3brX4TWheSakc248m4/vf4xFxuepnogqKZHhzbjgAwNbGHBOG+ODd11rA272BjqvVjujrUny/NR6bDyaiqLjqa4EPlz8Z/l4kAvqFuGHqSD/0C3GDiUndb2N4nF2MX3bdwuo/4pF4v3L4LyqWY/EvceU/ezaxxruv+WHCEG/YN9S/ZxKfR6SsyzGOKikrLFb5PUJOnVuh3475FbdTUITcpFQkbjuD+HUHoJRr746PPrxH6HpiFt6efxZ/XklXa/0WzRvgxzld8UJ7J43XpgtFxTLMWRWNlZuvoVSNu3sSS1N8/FYAPpwQCDOzuvklsP/MPUxdeK7KAFgT/ULcsPp/XeDuYq3x2tRVXFyMr7/+Gps3b0ZiYiIsLS3h7e2NCRMmYMqUKeXLXbhwAR988AEuXbqE+vXrY9iwYVi8eDFsbW0xbtw4rF+/vnzZixcvYvr06bhy5QoKCwvh7u6O5OTkGtckEokqbRN/vdRzw4YNle4snjp1Cj169MAvv/xS/mJPALhz5w7mzJmDw4cPIzs7G25ubhg5ciQ+/fTTKgchePToEdzc3CCTyfD555/jk08+qbK+q1ev4quvvsLJkyeRkZEBW1tbeHp6on///pg6dWqFrmM1kZ2djU8//RQ7duzA48eP4enpiSlTpmDq1Kk66WbGc+BvQp0Dz/s7z507F/PmzVNpe9qiVCqx+UAiPlhyAemZxWpt4/W+zfHtR53R2N5K4/Xpwu17uZg0/yxORqaqtb5nE2us+V9X9OpUN58lKymVY8Gay1i64apaPR4sLUzw33H++N87bWBuVv1zgPqEQcjA1CYIJe0IR8qJaEAkgpVDQ3i91h22fu5I2HgU52au0VrNQgYhuVyBpRviMGdVtFoB4J9EIiB0VCssDO0AiVXdaWw9F/MIE/4XjoTknFpvq52fPdYv6KZ3rSPPk51bgv9bfAEb9tyq9bbqS8ywdEYQJr3qqxfPUhAR1USatBDvfBaBPafu1XpbjWwtsWp2Z7zet/LIgPpKoVDi283X8PHKqCpbgFT1zmstsOSDjrCuZ66R+nTh0nUpxn96BldvZ9V6W/7etli/oBvatWykkdq0iUHIwNQmCEXOD8O11XvKp5taWWBo+ApInO3wW8BbKHmcq4WKhQtCJaVyjPrwFHYcr/mdzJroFOCA/av6wq6B/ncV++1gIv7zyWnIZJr7GJBYmmLXit54qXPlF0nqmwePCvDSO4cQn5St0e1OetUX33/SxSC6SBCRYbtxJxsvTTqElEcFGt3up5Pa4LOp7fT+plBZmQIT5pzBpv2JGt1umxZ2OPxDvzrROrb75F28/t8Ttb4h/E8W5ib4fUkPDOrhrrFtakPduW1NOicrKkFG9C00G9gZNu6OyNBSEBJCWZkCr//3hEbufj3rfGwGXpp0ECfXvQyb+vp7N2jroSSM+ugUNH0rpLBYhlemHcGBVX31untAmrQQL755ALfvaf68/nFbAmRyJdbO66r3FwGakJGRAbn8+XdR69evX/6gfV2Wn5+P/Pznd580MTGBg4ODzmrSBzwHKqor58Dte7no8eYBpEmLNL7tz3+8AqVSic/f0+7oiLUhlyvwn09OYeuhOxrf9pUbmej51gGcWf+KXt8Y3XvqHoZ/cBxyuWYvBkpK5Rj2wXHsWt4br3RvqtFtaxJvVz5jz549mDx5MoKCguDq6goLCwtYW1ujTZs2mD17dpUPjxoy62aOAICSbPWem9BXHy6/qJUQ9FR0/OO/QoZ+NrhGXcvAmNmaD0FPlZYpMOT/jiEpRT/Ds0ymwJD3j2klBD31886bWPxLbA2WrPs6duwIZ2fn5/63dOlSocvUiKVLl/7rsXbs2FHoMnWO50DdOwcKCsvw8tTDWglBT33xUwzCNNDtWFvm/XBZKyHoqWuJ2Xj1g+NQKPTzWuDa7Sy8PvOExkPQU3K5Eq/99wSuJ9a+u522sEXoGd988w1Onz4Nc3NzuLi4ICAgAOnp6YiNjUVMTAzWrl2LI0eOVPuytbrM1MocFnbW5c8I+Y7tA3t/D2RE30JuknoPDuqj8EtpWL6x8vsnnidyyyA4NZIgTVqIjm/sqcEawP4z97Fhzy2MH+yjZqXaUVIqx/hPz6jUHU6d488vLMPEOeE4sfZlvRtRb+mGOFyIy1BpHXV+B3NWReOVbk3RystWzUrrhk2bNqGo6PkXUx4elZ8XiIyMrPE+pFIpduzYgWHDhqFRo5r3O9f0BenYsWPRtWvX5y5jZaX/XWE0jedARXXhHJi9Mgq37qp2M0idz8HQRefRK9gFro711KxUO6KuZeDLdTEqraPO8Z+MTMUPv8dj6siWalaqHTKZAuP/dwbFJTV/Jkqd4y8ukWP8/87gz7CBMDXVv/YXBqFnTJw4EXPmzEHXrl1hbv53t6a4uDiMGjUKV69exahRo3D9+nVB69SGtrNGou2skRWmJe8/jwsfrxWsJk0rKpZhwpwzKreEODWSwE2ND/H/W3wBfTq7wqWx/nwBfP7jFVxLVO2ZGHWP/3RUmt59AcQnZWPu99Eqr6fO76D0r77n534daNDPC4WEhGh9H1KpFGvXrkW3bt1UugjWNA8Pjyov6I0dz4G65Wx0GlZuVv06Rp3PwZy8UryzIAL7vuuj8v60pbTsyQ1BVVtC1P0unPVNJF7u2gTN3fRnVNGlG+IQdU21Xk7qHn/kVSm+DovDhxMDVV5X2wz3m1lNY8eORc+ePSuEIADw9/fHunXrAADx8fGIj48XqELtSfj1CA6/Ph9HR3+BqAW/ojgzD/Wc7SEv+fvFoWJzUww+tQwB7w+rsG7X5VPRe1PVQ5Hqk80HEqscE19bcvJK1fqy0ZacvFIs+/WqTvf5xU8xevXCvUU/x2r0gdB/E3lVikMRKTrbHxHRv1nw4xWd7m//mfu4dF1/Hi3YcSxZ5RuCtVFYLMPXYXE1WFI3CotkOu+6vfiXOBQVy3S6z5ow+CAklUoxa9YseHl5wdLSEk2aNMH777+PgoICvPnmmxCJRPjuu+9qtC0/P7/y/3/6YjRDkpuUhtTwODw4cRlXv9+N4+O+QqM2nui86J3yZRSlMpwN/Rb+ocNg2/LJSCBN+3WE20sdEPHB9wJW/++USiVW/ab7ALtu500Ul+jHP/5f991GQZFua0nNKMTuk3d1us/qPM4uxm+HknS+3++3Gt6NEyKqm27dzcGRPx/ofL8/6NHnoBCfyWF7byO/sEzn+63K1sNJyMotrcGSmpOZU4LfD2vveSx1GXQQunLlCvz9/bFkyRKkpaWhZcuWKCsrw8qVKzFixIjyVp2aPu8TEfHX2+Tr1YOvr69Wa9cHGVEJSNx2Bs2HhMChw9/H+zg2Cdd+2IMXVr4HibMdOi95Fxdmr0XRI/19GA4Aoq5JcfnGY53vV5pVjO3HNDtEt7pW/y7MF9HqP24Ist9nbdhzS62XxNXWwbMpSH6gu5ZIIqLq/LgtQZD9bj6YiJw83V58V+Xa7SyERz/S+X7zCsqw+YBmh+hW1xqBvpN/EOga5HkMNghJpVIMHDgQaWlpmDFjBlJTUxEdHY20tDQsWrQI+/fvR2RkJEQiEQICAqrdjkKhQGpqKsLCwsrfaL1w4UKDGAK0JmKWbYNCJkfbmSMqTl++HQq5HIOOLkFaxFXc2R0hWI01dfKicAM+nFLzLdWalJFZpNOuAP909vIjvegeJ9Q5oFQCZy6lCbJvQ2FtbY1+/frB2lp/+tiTbvEc0IyTAn0fFRXLcfGqaoPUaMOpKOO+FsgvLBPs7xB5TYoCPWkVe8pgg1BoaChSUlIwbdo0LF26tMIH56xZsxAYGAiZTIZmzZrBxsam0vqrV6+GSCSCiYkJXFxcMG7cOLi5uWHv3r0IDQ3V8dEIJy85DXd2R8ClWwAaB//dNVApkyMjMgGW9g1we+tJQWusqUvxwvVPvnRd9y1R+lRDSakc15OEbzG8FC/c70Cf+sfXRa6urvjss8/g6qr/L+ol7eA5UHslpXLE3swUbP/68DkoZA36cC1w5cZjrb06498oFEpcSRDu/KuKQQah+Ph4bN26FY0aNcKXX35Z5TLt27cHAAQGVj2ChbOzM0JCQhAcHAwXFxeIRCLExsZi8+bNyMnJqbBseHg4evfuDWdnZ1hYWMDNza1C17u6LnbFk9aff7YKNQ72g9eIHohfdwBBn02AiaX+vjj0qWgBL4LjbmeitEz3XbL+SYhugf8k9BdAmrQQqRnCPdsn5PlnCEpKSnD//n2UlJQIXQoJhOdA7V1PzEKZTLjWeX34HBTyu/Dm3Rzk5gvbPVDov0G0gDelqyJS6usbH2thzpw5WLBgAd5//30sX768ymWmTZuGVatWYe7cuZg3b96/bjMuLg5Tp05FeHg4QkJCcPbs2fJ5e/bswcmTJ9GlSxc0btwYKSkp+PLLL5GSkoKrV6/Czc1NrePo0KED0tJU605jphRjriJIrf3VlKnEEoOOL8X1NftwY8Nh9N/5GaQxiYicu16t7c0XX0SZSPsfzA8bfgSluOp3OzwdG786To2sYGoihkyueO7L5543tr5T1iKYKIW7EM+W9EWBZZcq52nq+PGc34FN4RFYFwvXhbLMpDHSG0ytct6/HT80cA6YyjPgmFOzgVmMxauvvlrjZdPT07Flyxa88cYbaNy4cY3X27Ztm5rVkS7wHNCtYlNPPLYZW+U8XXwOmpclwSFvgxqVa05qww+gEDeocp4urgUcs5fBVCFMN3UAyLXqiTyr7lXO08W1gHXRKdgUab4nkZOTE6KiolRezyDfI3TixAkAQI8ePapdJiXlyXC21bUIPcvf3x/79++Hh4cHIiIicOzYMfTu3RsAMGjQIAwaNKjC8h07doSvry+2b9+O999/X63jSEtLw4MHqo3sYi4yARzV2l2NdZw3Fvn30nFj/SEAwNn3v8OgY0tx7+AFPDqveivYw9SHKFXqoLWkYfUNoDUdG9/URKzWGPoAkJaWDshyarCkljgXAZZVz9LF8efmFiA3Q/cjFZWzNAGq/u5T6d0I6v4OZDKlyv+eDV1BQUGNl336ss6ioiKV1uPvXL/xHNAxazug8tMAgI4+B0tL5cL/PaxF1faH0sV34aNHUqBU94M1lHMsBKp5368ujj8vrxB5j/Tn36RBBqG7d58M1evu7l7lfJlMVj4CXE2DEP56ULN79+7Yvn07YmJiyoNQVezt7QEApqbq/4qdnJxUXsdMKQa02Lji2rMtmg8Kwe5eM8qn5d19hEtfbELIsqnY03MGZEWqdVtwcXbRTYsQ5Kiu+TNN+vyWGlXuAlW7DScHmCiFG2Qjx8oS+dXM09TxP29bNjYSWJsL17e/TGyH9Grm/dvxQwPngKkJ4MhnGyqoV6/mX6RPL3ytrKxUWo/Pk+g3ngO6VWzaANV1jNLF56CFuRiNBP57pIkVqO7Wqy6uBRwd7WGqEO7yO9fKCtWNYaqLawHr+lawMdX8OaDONTMMtWucnZ0dsrKy8Oeff6Jz586V5m/atAljxoyBtbU1cnJyIBKJarztIUOGYPfu3Vi0aBFmzZpVYZ5cLodCocDdu3fx8ccf4+zZs4iNjYWDg4NGjqsmygqLsclzjM72pwmjEzfCTFJNU4UGtX19J67cUO8hvftHR8LNsR5SHhWgyUu/qbx+fYkZcv78D8Timp9rmrZy0zW8v+i8WuvW9vgB4PelPfFan+ZqrasJufmlaNDlV7XXr+3voF+IGw7+0Fft/RuiyMjIGi9748YNjB07FmFhYWjRokWN1+vYsaOa1ZEu8BzQrVt3c+AzUP2ugrX9HJwwxBs/f9ZN7f1rQtdx+xBxWb0Wmdoev7mZGLnnxsLC3ESt/WvCzztv4s254Wqtq4lrgZ8/ewEThviota42GORgCU9TYXR0dKV5qampmDlzJgAgICBApRCUmZmJ06dPA9W8e6h79+4wNzeHt7c3rly5ghMnTug0BNHztfdrJNi+2/nZCxqCAKB9S+GO/8n+7QXdv019c/i4V9M3TgeEPn4iIs8mNrCpbybY/oX+HgKA9n7CfRb7e9sJGoKgB99F+nAO/JNBBqGnXdYWLVqEmzdvlk+PjIxEjx49IJU+GbHi2TATFRWFOXPm4Pbt25W2efnyZfTv3x/Z2dnw9/dHr169Ki2zbt06nD9/Hlu2bIGNjQ369OmDe/fuaeEISR1C/uMT+oMHANr42gkWxmxtzNHcVfh3fwj5d9C3D/+6pkWLFrh48aJKLQFkWHgO1J5YLEI7AW8KCnlDsrwGI78WaOlhK1gYs7QwQUuPhoLsuzoGGYRmzZoFe3t73L9/H61atYK/vz+8vb0RFBQEDw8P9OzZE6ji+aD8/HwsWLAA3t7ecHR0RIcOHRAcHAxXV1e0a9cOFy9ehI+PD3bt2gUTk8onka+vL4KDgzFy5EgcP34ceXl5WLx4sc6Om57v5RfcoEIDoEa90q2pMDv+h3oSM/QMchZk3wO6NVGp9VVbBnYX5u8gsTRFj47C/O6JiP5pYPcmguzXqZGVXtwQ6hviBjNTYS5/9eFawMxMjP5d1RvNuLb6hbjBVKDffXX0qxoNcXNzQ3h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       "text/plain": [
        "<Figure size 1058.43x367.889 with 1 Axes>"
       ]
@@ -476,7 +490,9 @@
    "outputs": [
     {
      "data": {
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+      ],
       "text/plain": [
        "<Figure size 723.984x367.889 with 1 Axes>"
       ]
diff --git a/docs/guides/qiskit-addons-mpf-get-started.ipynb b/docs/guides/qiskit-addons-mpf-get-started.ipynb
index b25513b0d4c..165c320f8ed 100644
--- a/docs/guides/qiskit-addons-mpf-get-started.ipynb
+++ b/docs/guides/qiskit-addons-mpf-get-started.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "qiskit-addon-utils~=0.1.0\n",
     "qiskit-addon-mpf~=0.2.0\n",
     "scipy~=1.15.2\n",
@@ -348,9 +348,9 @@
      "output_type": "stream",
      "text": [
       "Exact value: 0.4006024248789992\n",
-      "PF with 19 steps: 0.3864990619977505\n",
-      "MPF using exact solution: 0.39548478559800904\n",
-      "MPF using approximate solution: 0.4299121425349054\n"
+      "PF with 19 steps: 0.38649906199774675\n",
+      "MPF using exact solution: 0.3954847855979998\n",
+      "MPF using approximate solution: 0.42991214253490284\n"
      ]
     }
    ],
diff --git a/docs/guides/represent-quantum-computers.ipynb b/docs/guides/represent-quantum-computers.ipynb
index 87007440fde..12c734af10e 100644
--- a/docs/guides/represent-quantum-computers.ipynb
+++ b/docs/guides/represent-quantum-computers.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "qiskit-ibm-runtime~=0.36.1\n",
     "```\n",
     "</details>"
@@ -339,7 +339,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['id', 'for_loop', 'delay', 'measure', 'switch_case', 'if_else', 'rz', 'ecr', 'sx', 'reset', 'x']\n"
+      "['id', 'if_else', 'measure', 'switch_case', 'delay', 'ecr', 'reset', 'for_loop', 'rz', 'sx', 'x']\n"
      ]
     }
    ],
diff --git a/docs/guides/save-circuits.ipynb b/docs/guides/save-circuits.ipynb
index 4d03d929829..8ab9b5240b8 100644
--- a/docs/guides/save-circuits.ipynb
+++ b/docs/guides/save-circuits.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/set-optimization.ipynb b/docs/guides/set-optimization.ipynb
index 455a2e43ab8..2fce5e2ce25 100644
--- a/docs/guides/set-optimization.ipynb
+++ b/docs/guides/set-optimization.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "qiskit-ibm-runtime~=0.36.1\n",
     "```\n",
     "</details>"
diff --git a/docs/guides/simulate-stabilizer-circuits.ipynb b/docs/guides/simulate-stabilizer-circuits.ipynb
index 1817626f7d2..6cd1a6c65df 100644
--- a/docs/guides/simulate-stabilizer-circuits.ipynb
+++ b/docs/guides/simulate-stabilizer-circuits.ipynb
@@ -24,8 +24,8 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
-    "qiskit-aer~=0.15.1\n",
+    "qiskit[all]~=1.4.1\n",
+    "qiskit-aer~=0.17.0\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/simulate-with-qiskit-aer.ipynb b/docs/guides/simulate-with-qiskit-aer.ipynb
index 9e324eaaa8b..5ccc820254b 100644
--- a/docs/guides/simulate-with-qiskit-aer.ipynb
+++ b/docs/guides/simulate-with-qiskit-aer.ipynb
@@ -24,8 +24,8 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
-    "qiskit-aer~=0.15.1\n",
+    "qiskit[all]~=1.4.1\n",
+    "qiskit-aer~=0.17.0\n",
     "```\n",
     "</details>"
    ]
@@ -224,30 +224,29 @@
     {
      "data": {
       "text/plain": [
-       "{'00000000': 68,\n",
-       " '01010010': 1,\n",
-       " '11000000': 3,\n",
-       " '00000100': 1,\n",
-       " '01010000': 1,\n",
-       " '00011000': 1,\n",
+       "{'00000000': 59,\n",
+       " '11000000': 2,\n",
+       " '00000011': 1,\n",
+       " '00001100': 3,\n",
+       " '00010100': 2,\n",
+       " '01010000': 2,\n",
+       " '01100000': 5,\n",
+       " '00010001': 1,\n",
+       " '10000000': 4,\n",
+       " '01000000': 5,\n",
+       " '00001000': 3,\n",
+       " '11101100': 1,\n",
+       " '00110000': 1,\n",
+       " '00101100': 1,\n",
+       " '00011110': 2,\n",
+       " '00001010': 1,\n",
+       " '00000101': 1,\n",
+       " '10010100': 1,\n",
        " '00001111': 1,\n",
-       " '01000000': 2,\n",
-       " '00100000': 1,\n",
-       " '00000011': 2,\n",
-       " '00000101': 2,\n",
-       " '00010100': 1,\n",
-       " '01000110': 1,\n",
-       " '00001100': 2,\n",
-       " '00001000': 1,\n",
-       " '00000010': 1,\n",
-       " '10100000': 1,\n",
-       " '10000000': 3,\n",
-       " '00101000': 2,\n",
-       " '01100000': 1,\n",
-       " '11100000': 1,\n",
-       " '11010010': 1,\n",
-       " '01100101': 1,\n",
-       " '00010011': 1}"
+       " '11111000': 1,\n",
+       " '10111100': 1,\n",
+       " '00010000': 1,\n",
+       " '11100000': 1}"
       ]
      },
      "execution_count": 5,
diff --git a/docs/guides/specify-observables-pauli.ipynb b/docs/guides/specify-observables-pauli.ipynb
index cbcd54fc0cd..96d878f4f27 100644
--- a/docs/guides/specify-observables-pauli.ipynb
+++ b/docs/guides/specify-observables-pauli.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/transpiler-stages.ipynb b/docs/guides/transpiler-stages.ipynb
index 6e05b651037..0072a72d8ee 100644
--- a/docs/guides/transpiler-stages.ipynb
+++ b/docs/guides/transpiler-stages.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "qiskit-ibm-runtime~=0.36.1\n",
     "```\n",
     "</details>"
diff --git a/docs/guides/visualize-circuits.ipynb b/docs/guides/visualize-circuits.ipynb
index 4ae9a067be5..d24df7439d2 100644
--- a/docs/guides/visualize-circuits.ipynb
+++ b/docs/guides/visualize-circuits.ipynb
@@ -24,7 +24,7 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
+    "qiskit[all]~=1.4.1\n",
     "```\n",
     "</details>"
    ]
diff --git a/docs/guides/visualize-results.ipynb b/docs/guides/visualize-results.ipynb
index bf8062ab880..bcd93114bfb 100644
--- a/docs/guides/visualize-results.ipynb
+++ b/docs/guides/visualize-results.ipynb
@@ -24,8 +24,8 @@
     "We recommend using these versions or newer.\n",
     "\n",
     "```\n",
-    "qiskit[all]~=1.4.0\n",
-    "qiskit-aer~=0.15.1\n",
+    "qiskit[all]~=1.4.1\n",
+    "qiskit-aer~=0.17.0\n",
     "```\n",
     "</details>"
    ]
@@ -190,7 +190,7 @@
      "output_type": "stream",
      "text": [
       "EstimatorResult(values=array([ 0.46875   ,  0.0390625 ,  0.50390625, -0.03125   , -0.70898438,\n",
-      "        0.00390625,  0.74609375]), metadata=[{'shots': 1024, 'variance': 0.7802734375, 'simulator_metadata': [{'time_taken': 0.08120082, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.055621393, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.99847412109375, 'simulator_metadata': [{'time_taken': 0.084051462, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.057865653, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.7460784912109375, 'simulator_metadata': [{'time_taken': 0.047980982, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.024785945, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.9990234375, 'simulator_metadata': [{'time_taken': 0.105751079, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.065442075, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.4973411560058594, 'simulator_metadata': [{'time_taken': 0.103259856, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.025081598, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.9999847412109375, 'simulator_metadata': [{'time_taken': 0.061741398, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.032446976, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.4433441162109375, 'simulator_metadata': [{'time_taken': 0.109253524, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.060892353, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}])\n"
+      "        0.00390625,  0.74609375]), metadata=[{'shots': 1024, 'variance': 0.7802734375, 'simulator_metadata': [{'time_taken': 0.04966317, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.020438526, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.99847412109375, 'simulator_metadata': [{'time_taken': 0.047978607, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.027765273, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.7460784912109375, 'simulator_metadata': [{'time_taken': 0.062349671, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.036682017, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.9990234375, 'simulator_metadata': [{'time_taken': 0.051410722, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.039439941, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.4973411560058594, 'simulator_metadata': [{'time_taken': 0.052154395, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.033000595, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.9999847412109375, 'simulator_metadata': [{'time_taken': 0.07489511, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.021897457, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.4433441162109375, 'simulator_metadata': [{'time_taken': 0.042200759, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.027589544, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}])\n"
      ]
     },
     {