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Update notebook outputs (#3827)
An action recently executed the notebooks in this repo. This PR updates all notebooks that ran successfully with the new cell outputs. > [!NOTE] > This pull request was created by a GitHub action. --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Kaelyn Ferris <[email protected]>
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‎docs/guides/DAG-representation.ipynb‎

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@@ -131,7 +131,7 @@
131131
"[DAGOpNode(op=Instruction(name='h', num_qubits=1, num_clbits=0, params=[]), qargs=(<Qubit register=(3, \"q\"), index=0>,), cargs=()),\n",
132132
" DAGOpNode(op=Instruction(name='cx', num_qubits=2, num_clbits=0, params=[]), qargs=(<Qubit register=(3, \"q\"), index=0>, <Qubit register=(3, \"q\"), index=1>), cargs=()),\n",
133133
" DAGOpNode(op=Instruction(name='measure', num_qubits=1, num_clbits=1, params=[]), qargs=(<Qubit register=(3, \"q\"), index=0>,), cargs=(<Clbit register=(3, \"c\"), index=0>,)),\n",
134-
" DAGOpNode(op=Instruction(name='if_else', num_qubits=1, num_clbits=3, params=[<qiskit.circuit.quantumcircuit.QuantumCircuit object at 0x7f92440b6cd0>, None]), qargs=(<Qubit register=(3, \"q\"), index=1>,), cargs=(<Clbit register=(3, \"c\"), index=0>, <Clbit register=(3, \"c\"), index=1>, <Clbit register=(3, \"c\"), index=2>))]"
134+
" DAGOpNode(op=Instruction(name='if_else', num_qubits=1, num_clbits=3, params=[<qiskit.circuit.quantumcircuit.QuantumCircuit object at 0x7fb77e27f5d0>, None]), qargs=(<Qubit register=(3, \"q\"), index=1>,), cargs=(<Clbit register=(3, \"c\"), index=0>, <Clbit register=(3, \"c\"), index=1>, <Clbit register=(3, \"c\"), index=2>))]"
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]
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},
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"execution_count": 3,
@@ -162,7 +162,7 @@
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"output_type": "stream",
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"text": [
164164
"node name: if_else\n",
165-
"op: Instruction(name='if_else', num_qubits=1, num_clbits=3, params=[<qiskit.circuit.quantumcircuit.QuantumCircuit object at 0x7f92440b6cd0>, None])\n",
165+
"op: Instruction(name='if_else', num_qubits=1, num_clbits=3, params=[<qiskit.circuit.quantumcircuit.QuantumCircuit object at 0x7fb77e27f5d0>, None])\n",
166166
"qargs: (<Qubit register=(3, \"q\"), index=1>,)\n",
167167
"cargs: (<Clbit register=(3, \"c\"), index=0>, <Clbit register=(3, \"c\"), index=1>, <Clbit register=(3, \"c\"), index=2>)\n",
168168
"condition: (ClassicalRegister(3, 'c'), 2)\n"

‎docs/guides/build-noise-models.ipynb‎

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"text": [
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"NoiseModel:\n",
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" Basis gates: ['cx', 'id', 'rz', 'sx', 'u1', 'u2', 'u3']\n",
731-
" Instructions with noise: ['u3', 'cx', 'reset', 'u1', 'measure', 'u2']\n",
731+
" Instructions with noise: ['cx', 'u3', 'u1', 'measure', 'reset', 'u2']\n",
732732
" All-qubits errors: ['reset', 'measure', 'u1', 'u2', 'u3', 'cx']\n"
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]
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}
@@ -838,7 +838,7 @@
838838
"text": [
839839
"NoiseModel:\n",
840840
" Basis gates: ['cx', 'id', 'rz', 'sx', 'u2', 'u3']\n",
841-
" Instructions with noise: ['u3', 'cx', 'reset', 'measure', 'u2']\n",
841+
" Instructions with noise: ['cx', 'u3', 'measure', 'reset', 'u2']\n",
842842
" Qubits with noise: [0, 1, 2, 3]\n",
843843
" Specific qubit errors: [('reset', (0,)), ('reset', (1,)), ('reset', (2,)), ('reset', (3,)), ('measure', (0,)), ('measure', (1,)), ('measure', (2,)), ('measure', (3,)), ('u2', (0,)), ('u2', (1,)), ('u2', (2,)), ('u2', (3,)), ('u3', (0,)), ('u3', (1,)), ('u3', (2,)), ('u3', (3,)), ('cx', (0, 0)), ('cx', (0, 1)), ('cx', (0, 2)), ('cx', (0, 3)), ('cx', (1, 0)), ('cx', (1, 1)), ('cx', (1, 2)), ('cx', (1, 3)), ('cx', (2, 0)), ('cx', (2, 1)), ('cx', (2, 2)), ('cx', (2, 3)), ('cx', (3, 0)), ('cx', (3, 1)), ('cx', (3, 2)), ('cx', (3, 3))]\n"
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]

‎docs/guides/create-transpiler-plugin.ipynb‎

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@@ -542,7 +542,7 @@
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{
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"data": {
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"text/plain": [
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"['ag', 'bm', 'default', 'greedy', 'layers', 'lnn', 'rb_default']"
545+
"['rb_default', 'ag', 'bm', 'default', 'greedy', 'layers', 'lnn']"
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]
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},
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"execution_count": 7,

‎docs/guides/custom-backend.ipynb‎

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"output_type": "stream",
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"text": [
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"Post-Transpilation: \n",
391-
"CZ gates: 155\n",
391+
"CZ gates: 167\n",
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"ECR gates: 6\n",
393-
"SX gates: 303\n",
394-
"RZ gates: 209\n"
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"SX gates: 300\n",
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"RZ gates: 187\n"
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]
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}
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],
@@ -570,10 +570,10 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"CZ gates: 827\n",
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"X gates: 9\n",
575-
"SX gates: 1528\n",
576-
"RZ gates: 884\n"
573+
"CZ gates: 883\n",
574+
"X gates: 3\n",
575+
"SX gates: 1650\n",
576+
"RZ gates: 935\n"
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]
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}
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],

‎docs/guides/debug-qiskit-runtime-jobs.ipynb‎

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@@ -317,13 +317,13 @@
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"output_type": "stream",
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"text": [
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"Noisy results:\n",
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" NeatResult([NeatPubResult(vals=array([0.9921875 , 0.99609375, 0.97460938, 0.98046875, 0.98632812,\n",
321-
" 0.97851562])), NeatPubResult(vals=array([0.97460938, 0.97460938, 0.95507812, 0.96289062, 0.96679688,\n",
322-
" 0.96679688])), NeatPubResult(vals=array([0.94140625, 0.94726562, 0.9140625 , 0.91992188, 0.94921875,\n",
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" 0.95898438])), NeatPubResult(vals=array([0.91210938, 0.92382812, 0.88476562, 0.90820312, 0.93554688,\n",
324-
" 0.96289062])), NeatPubResult(vals=array([0.87695312, 0.86132812, 0.83789062, 0.85742188, 0.90625 ,\n",
325-
" 0.9296875 ])), NeatPubResult(vals=array([0.859375 , 0.859375 , 0.84375 , 0.86914062, 0.91796875,\n",
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" 0.95507812]))])\n",
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" NeatResult([NeatPubResult(vals=array([0.99414062, 0.99414062, 0.99023438, 0.99609375, 0.984375 ,\n",
321+
" 0.99414062])), NeatPubResult(vals=array([0.97070312, 0.97460938, 0.9609375 , 0.984375 , 0.97851562,\n",
322+
" 0.99609375])), NeatPubResult(vals=array([0.95703125, 0.95703125, 0.95117188, 0.95703125, 0.95703125,\n",
323+
" 0.98046875])), NeatPubResult(vals=array([0.9296875 , 0.91992188, 0.921875 , 0.95117188, 0.9609375 ,\n",
324+
" 0.96679688])), NeatPubResult(vals=array([0.91601562, 0.90625 , 0.92382812, 0.94335938, 0.95117188,\n",
325+
" 0.9609375 ])), NeatPubResult(vals=array([0.88671875, 0.89648438, 0.87304688, 0.93554688, 0.9375 ,\n",
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" 0.96679688]))])\n",
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"\n"
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]
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}
@@ -359,22 +359,22 @@
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"output_type": "stream",
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"text": [
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"Mean absolute difference between ideal and noisy results for circuits with 1 layers:\n",
362-
" 1.53%\n",
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" 0.78%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 2 layers:\n",
365-
" 3.32%\n",
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" 2.25%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 3 layers:\n",
368-
" 6.15%\n",
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" 4.0%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 4 layers:\n",
371-
" 7.88%\n",
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" 5.83%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 5 layers:\n",
374-
" 12.18%\n",
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" 6.64%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 6 layers:\n",
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" 11.59%\n",
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" 8.4%\n",
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"\n"
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]
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}
@@ -435,22 +435,22 @@
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"output_type": "stream",
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"text": [
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"Mean absolute difference between ideal and noisy results for circuits with 1 layers:\n",
438-
" 3.29%\n",
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" 0.0%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 2 layers:\n",
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" 7.55%\n",
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" 0.0%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 3 layers:\n",
444-
" 13.09%\n",
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" 0.0%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 4 layers:\n",
447-
" 18.39%\n",
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" 0.0%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 5 layers:\n",
450-
" 25.13%\n",
450+
" 0.0%\n",
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"\n",
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"Mean absolute difference between ideal and noisy results for circuits with 6 layers:\n",
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" 28.03%\n",
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" 0.0%\n",
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"\n"
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]
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}
@@ -581,19 +581,19 @@
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"output_type": "stream",
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"text": [
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"Mean absolute difference for factors [1, 1.1]:\n",
584-
" 4.08%\n",
584+
" 11.25%\n",
585585
"\n",
586586
"Mean absolute difference for factors [1, 1.1, 1.2]:\n",
587-
" 3.49%\n",
587+
" 9.36%\n",
588588
"\n",
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"Mean absolute difference for factors [1, 1.5, 2]:\n",
590-
" 3.45%\n",
590+
" 13.03%\n",
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"\n",
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"Mean absolute difference for factors [1, 1.5, 2, 2.5, 3]:\n",
593-
" 2.45%\n",
593+
" 10.63%\n",
594594
"\n",
595595
"Mean absolute difference for factors [1, 4]:\n",
596-
" 2.49%\n",
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" 6.89%\n",
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"\n"
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]
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}

‎docs/guides/defaults-and-configuration-options.ipynb‎

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{
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"data": {
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"text/plain": [
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"<qiskit.transpiler.passmanager.StagedPassManager at 0x7f14001f5710>"
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"<qiskit.transpiler.passmanager.StagedPassManager at 0x7f528def8a10>"
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]
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},
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"execution_count": 3,

‎docs/guides/get-qpu-information.ipynb‎

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@@ -182,7 +182,7 @@
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{
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"data": {
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"text/plain": [
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"<IBMBackend('ibm_brisbane')>"
185+
"<IBMBackend('ibm_torino')>"
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]
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},
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"execution_count": 4,
@@ -313,7 +313,7 @@
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{
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"data": {
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"text/plain": [
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"QubitProperties(t1=0.00035761168689508034, t2=0.0004750364393368112, frequency=4815138551.9053)"
316+
"QubitProperties(t1=0.00033950165515210127, t2=0.00039862146879251906, frequency=4815140551.859664)"
317317
]
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},
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"execution_count": 6,
@@ -335,22 +335,22 @@
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{
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"data": {
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"text/plain": [
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"{'T1': (0.00027066209780797425,\n",
339-
" datetime.datetime(2025, 7, 31, 20, 26, 9, tzinfo=tzlocal())),\n",
340-
" 'T2': (5.154603366721979e-05,\n",
341-
" datetime.datetime(2025, 7, 31, 20, 26, 9, tzinfo=tzlocal())),\n",
342-
" 'frequency': (4721900352.1746235,\n",
343-
" datetime.datetime(2025, 8, 1, 6, 1, 9, tzinfo=tzlocal())),\n",
338+
"{'T1': (0.000292034087560393,\n",
339+
" datetime.datetime(2025, 9, 1, 5, 46, 32, tzinfo=tzlocal())),\n",
340+
" 'T2': (5.3456867360362344e-05,\n",
341+
" datetime.datetime(2025, 9, 1, 5, 47, 23, tzinfo=tzlocal())),\n",
342+
" 'frequency': (4721903631.949188,\n",
343+
" datetime.datetime(2025, 9, 1, 6, 27, 7, tzinfo=tzlocal())),\n",
344344
" 'anharmonicity': (-311978659.73435575,\n",
345-
" datetime.datetime(2025, 8, 1, 6, 1, 9, tzinfo=tzlocal())),\n",
346-
" 'readout_error': (0.0341796875,\n",
347-
" datetime.datetime(2025, 7, 31, 21, 26, tzinfo=tzlocal())),\n",
348-
" 'prob_meas0_prep1': (0.0263671875,\n",
349-
" datetime.datetime(2025, 7, 31, 21, 26, tzinfo=tzlocal())),\n",
350-
" 'prob_meas1_prep0': (0.0419921875,\n",
351-
" datetime.datetime(2025, 7, 31, 21, 26, tzinfo=tzlocal())),\n",
345+
" datetime.datetime(2025, 9, 1, 6, 27, 7, tzinfo=tzlocal())),\n",
346+
" 'readout_error': (0.0321044921875,\n",
347+
" datetime.datetime(2025, 9, 1, 6, 4, 16, tzinfo=tzlocal())),\n",
348+
" 'prob_meas0_prep1': (0.0166015625,\n",
349+
" datetime.datetime(2025, 8, 31, 7, 22, 37, tzinfo=tzlocal())),\n",
350+
" 'prob_meas1_prep0': (0.0556640625,\n",
351+
" datetime.datetime(2025, 8, 31, 7, 22, 40, tzinfo=tzlocal())),\n",
352352
" 'readout_length': (1.3e-06,\n",
353-
" datetime.datetime(2025, 7, 31, 21, 26, tzinfo=tzlocal()))}"
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" datetime.datetime(2025, 9, 1, 6, 4, 16, tzinfo=tzlocal()))}"
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]
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},
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"execution_count": 7,
@@ -374,13 +374,13 @@
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"output_type": "stream",
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"text": [
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"Qubit 126 Properties:\n",
377-
" T1: 0.0002746921073949362 seconds\n",
378-
" T2: 1.68752262717473e-05 seconds\n",
379-
" Frequency: 4908227695.33459 Hz\n",
377+
" T1: 0.0002531517032267193 seconds\n",
378+
" T2: 1.648990645075844e-05 seconds\n",
379+
" Frequency: 4908228115.11265 Hz\n",
380380
" Anharmonicity: -308575726.39301103 Hz\n",
381-
" Readout Error: 0.072021484375\n",
382-
" P(0 | 1): 0.046875\n",
383-
" P(1 | 0): 0.09716796875\n",
381+
" Readout Error: 0.0220947265625\n",
382+
" P(0 | 1): 0.021484375\n",
383+
" P(1 | 0): 0.0361328125\n",
384384
" Readout Length: 1.3e-06 seconds\n"
385385
]
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}
@@ -430,7 +430,7 @@
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{
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"data": {
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"text/plain": [
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"InstructionProperties(duration=6.6e-07, error=0.005820281053298959)"
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"InstructionProperties(duration=6.6e-07, error=0.003287264393191658)"
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]
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},
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"execution_count": 9,
@@ -459,7 +459,7 @@
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{
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"data": {
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"text/plain": [
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"InstructionProperties(duration=1.3e-06, error=0.0341796875)"
462+
"InstructionProperties(duration=1.3e-06, error=0.0321044921875)"
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]
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},
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"execution_count": 10,

‎docs/guides/get-started-with-primitives.ipynb‎

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@@ -80,7 +80,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ibm_brisbane\n"
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"ibm_torino\n"
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]
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}
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],
@@ -167,7 +167,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
170-
">>> Circuit ops (ISA): OrderedDict([('rz', 2734), ('sx', 1185), ('ecr', 576), ('x', 284)])\n"
170+
">>> Circuit ops (ISA): OrderedDict([('rz', 3826), ('sx', 1601), ('cz', 968)])\n"
171171
]
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}
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],
@@ -222,7 +222,13 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
225-
">>> Job ID: d266hogut9ds739ge2hg\n",
225+
">>> Job ID: d2qkd2saumss73e7dbug\n"
226+
]
227+
},
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{
229+
"name": "stdout",
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"output_type": "stream",
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"text": [
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">>> Job Status: QUEUED\n"
227233
]
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}
@@ -244,7 +250,7 @@
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"output_type": "stream",
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"text": [
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">>> PrimitiveResult([PubResult(data=DataBin(evs=np.ndarray(<shape=(), dtype=float64>), stds=np.ndarray(<shape=(), dtype=float64>), ensemble_standard_error=np.ndarray(<shape=(), dtype=float64>)), metadata={'shots': 4096, 'target_precision': 0.015625, 'circuit_metadata': {}, 'resilience': {}, 'num_randomizations': 32})], metadata={'dynamical_decoupling': {'enable': False, 'sequence_type': 'XX', 'extra_slack_distribution': 'middle', 'scheduling_method': 'alap'}, 'twirling': {'enable_gates': False, 'enable_measure': True, 'num_randomizations': 'auto', 'shots_per_randomization': 'auto', 'interleave_randomizations': True, 'strategy': 'active-accum'}, 'resilience': {'measure_mitigation': True, 'zne_mitigation': False, 'pec_mitigation': False}, 'version': 2})\n",
247-
" > Expectation value: 2.860418623286167\n",
253+
" > Expectation value: 27.231065568557664\n",
248254
" > Metadata: {'shots': 4096, 'target_precision': 0.015625, 'circuit_metadata': {}, 'resilience': {}, 'num_randomizations': 32}\n"
249255
]
250256
}
@@ -330,7 +336,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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">>> Circuit ops (ISA): OrderedDict([('rz', 3647), ('sx', 2061), ('ecr', 579), ('measure', 127), ('x', 14), ('barrier', 1)])\n"
339+
">>> Circuit ops (ISA): OrderedDict([('sx', 3204), ('rz', 3036), ('cz', 1146), ('measure', 127), ('barrier', 1)])\n"
334340
]
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}
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],
@@ -384,7 +390,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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">>> Job ID: d266i68ut9ds739ge340\n",
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">>> Job ID: d2qkdfsaumss73e7dcd0\n",
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">>> Job Status: QUEUED\n"
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]
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}
@@ -405,7 +411,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
408-
"First ten results for the 'meas' output register: ['1100110010110111011000010111100111110111101011010001001110011100010011010111101110000100111110111111101101111111011111001101011', '1000101001000010011101110111000100110111100101110101111011111110001110011101101000000011000001011100011101100111110100111001110', '1100111110111100111111000110010100110010110011111011011101011001010111011110011011101001001001111110011110110110101110101101011', '1100100000001111010011010101111001111110111100001001000001100000100111011011011010101011110000011110100111110111101111011011101', '0110101011001111001101111010010111101111011100101001011101101111011010011110101101011111101000110010110000110001100101010011100', '1111001111001100110011100010001101101101011010101101000000111010011011111011011101111111000011010101011011000111011101110101101', '1001111100000100010100110100101010010100001000110110101111110100110010111111001000101001101010110001110001111111111100111100101', '0101001101110010010100010010101000001101101111101111001110101100101011111000110000001001010000011110100111110000001101101100100', '1001000000100000100010100111011010101000010101011011111001010101001001010100100001100001100001011110100110110011111101010001100', '0110101100010000111010011110111001011111110111100111101101010011110001001011000101111111011101110000110111110010000101111111111']\n"
414+
"First ten results for the 'meas' output register: ['0110010001111101100001010101011100001001000000000000000000011000100000010100011101010101100100001001001100001000010101010011000', '0110110000000100101100001001110100010111000000010110001001000100100101000010101000101111010001101000010101000100101111011010100', '1010100010011000111101000100110010100011001101100100000011011100100000100000110010000100001000111110100100001011000101000100000', '0001010000000000110111000010000100000010010000001000001000001000000000000100101001111110010101110101000111100101001101010000000', '0110111001011000000110000010101100000011010100000010100011010110101010011001111000100001010001100001000110101010010111011000000', '1111110111100011110101001100111101111000001010110100000100010100011000100101101010000011010101011010000000111000000100001100000', '0001000010100101111011010000000100110000011010010111000000000000001000010010110001110110001000010011111111010001100000111000100', '0111011001100010100000101001110111100000011000011000101110010000101011001000100101001100110110101010001101000001000100001100100', '1010000111010010110100001010000011111010001101111000000001010001011000000000101001100010110000000011000011100100001101000001010', '0000000100001001111000101011111010001101010000000110100001011111000100010000000001110000001010010111000100001110000011000100101']\n"
409415
]
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}
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],

‎docs/guides/measure-qubits.ipynb‎

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