Update backends

docs/guides/qpu-information.mdx

@@ -84,7 +84,12 @@ To access the details page, select [Compute resources](https://quantum.cloud.ibm
 
 To find your available QPUs, open the [Compute resources](https://quantum.cloud.ibm.com/computers) page (make sure you are signed in).  Note that your selected region might impact the QPUs listed. Click a QPU to view its details.
 
-You can also view your available QPUs by using the [backends API.](/docs/api/qiskit-ibm-runtime/qiskit-runtime-service#backends)
+You can also view your available QPUs by using the [backends API.](/docs/api/qiskit-ibm-runtime/qiskit-runtime-service#backends) For example, the following code will return all of the backends that the specified instance (`my_instance`) can access:
+
+```python
+   QiskitRuntimeService(instance="my_instance_CRN")
+   service.backend()
+```
 
 ## View QPU configuration
 

docs/guides/visualize-results.ipynb

@@ -2,15 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "1adb4ac8-f331-485b-89f5-e4ec20a6855f",
+   "id": "7e6b2936-3a18-4917-9c47-30e2d4ce5775",
    "metadata": {},
    "source": [
     "# Visualize results"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "6efd5b06-c754-4b34-a14d-e404c9e920cb",
+   "id": "06a4399f-bca6-4c2e-9128-1494017d0249",
    "metadata": {
     "tags": [
      "version-info"
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b446771a-caf4-4b59-8e8c-1d115249b818",
+   "id": "e8d0138c-fd97-49c2-88a5-1929a5a09258",
    "metadata": {},
    "source": [
     "## Plot histogram <a name='histogram'></a>\n",
@@ -53,7 +53,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "03592c4f-8a0a-4c0b-81f6-658f57d33ee4",
+   "id": "5cf67f92-a86d-496d-9e13-0d8a841c8dfa",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -71,7 +71,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "2ff2c2d1-185f-4183-b80a-b5b599411245",
+   "id": "938e8206-d7e8-447d-b798-b7c2507f8901",
    "metadata": {},
    "outputs": [
     {
@@ -103,7 +103,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "3b41d6da-1bca-4b82-ac84-b5b811b7d430",
+   "id": "57d8053e-d030-460d-9c1f-772e53b1a49b",
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "330e0fcb-ce13-4ad2-855e-4e0b8665cf76",
+   "id": "e3a68e3d-21e6-45a0-bc40-f9a2214dd5b3",
    "metadata": {},
    "source": [
     "### Options when plotting a histogram\n",
@@ -141,7 +141,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "7f456bcc-94a8-4522-9be2-77ea91045c1f",
+   "id": "bd70e13f-5c52-42fb-8dde-980b15e3604a",
    "metadata": {},
    "outputs": [
     {
@@ -178,7 +178,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2a3d185d-96ce-4a91-890f-b8e3d7f31eb0",
+   "id": "019ee04e-0730-4536-94cc-7e2b50d921e1",
    "metadata": {},
    "source": [
     "## Plotting estimator results\n",
@@ -191,7 +191,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "35e07a46-8423-44ff-abad-7c10c72291a5",
+   "id": "17c9893a-d1bf-4726-b444-6dce1d56805f",
    "metadata": {},
    "outputs": [
     {
@@ -264,7 +264,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d0e52ff0-96d5-45fb-b5df-38f43fd19ecc",
+   "id": "a520f049-c2ee-4f14-8039-b5be671f25ae",
    "metadata": {},
    "source": [
     "The following cell uses the estimated [standard error](https://en.wikipedia.org/wiki/Standard_error) of each result and adds them as error bars. See the [`bar` plot documentation](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.bar.html) for a full description of the plot."
@@ -273,7 +273,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "6f122049-0b5a-49e8-bde4-d99d91f4b77c",
+   "id": "4eb79f4b-36b5-4797-a1a0-67d881d46ca4",
    "metadata": {},
    "outputs": [
     {

docs/tutorials/approximate-quantum-compilation-for-time-evolution.ipynb

@@ -34,8 +34,7 @@
     "\n",
     "* Qiskit SDK v1.0 or later, with visualization support (`pip install 'qiskit[visualization]'`)\n",
     "* Qiskit Runtime v0.22 or later (`pip install qiskit-ibm-runtime`)\n",
-    "* AQC-Tensor Qiskit addon (`pip install 'qiskit-addon-aqc-tensor[aer,quimb-jax]'`)\n",
-    "* rustworkx v0.15 or later (`pip install rustworkx`)"
+    "* AQC-Tensor Qiskit addon (`pip install 'qiskit-addon-aqc-tensor[aer,quimb-jax]'`)"
    ]
   },
   {

docs/tutorials/circuit-transpilation-settings.ipynb

@@ -6,7 +6,7 @@
    "metadata": {},
    "source": [
     "# Compare transpiler settings\n",
-    "*Usage estimate: under one minute on ibm_nazca (NOTE: This is an estimate only. Your runtime might vary.)*"
+    "*Usage estimate: under one minute on an Eagle processor (NOTE: This is an estimate only. Your runtime might vary.)*"
    ]
   },
   {
@@ -93,7 +93,7 @@
     {
      "data": {
       "text/plain": [
-       "'ibm_kyoto'"
+       "'ibm_brisbanse'"
       ]
      },
      "execution_count": 28,

docs/tutorials/grovers-algorithm.ipynb

@@ -6,7 +6,7 @@
    "metadata": {},
    "source": [
     "# Grover's algorithm\n",
-    "*Usage estimate: under one minute on ibm_nairobi (NOTE: This is an estimate only. Your runtime might vary.)*"
+    "*Usage estimate: under one minute on ibm_brisbane (NOTE: This is an estimate only. Your runtime might vary.)*"
    ]
   },
   {
@@ -114,14 +114,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "6e419a8a",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'ibm_cusco'"
+       "'ibm_brisbane'"
       ]
      },
      "execution_count": 2,
@@ -173,6 +173,54 @@
     "oracle.draw(output=\"mpl\", style=\"iqp\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7baca7e2-99fc-4089-b5d8-30da56816a6a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Image src=\"/docs/images/tutorials/grovers-algorithm/extracted-outputs/7baca7e2-99fc-4089-b5d8-30da56816a6a-0.avif\" alt=\"Output of the previous code cell\" />"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "marked_states = [\"011\", \"100\"]\n",
+    "\n",
+    "oracle = grover_oracle(marked_states)\n",
+    "oracle.draw(output=\"mpl\", style=\"iqp\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d3a26fc9-9090-4527-a749-a412661260b6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Image src=\"/docs/images/tutorials/grovers-algorithm/extracted-outputs/d3a26fc9-9090-4527-a749-a412661260b6-0.avif\" alt=\"Output of the previous code cell\" />"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "marked_states = [\"011\", \"100\"]\n",
+    "\n",
+    "oracle = grover_oracle(marked_states)\n",
+    "oracle.draw(output=\"mpl\", style=\"iqp\")"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -186,7 +234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "id": "283d5265",
    "metadata": {},
    "outputs": [
@@ -196,7 +244,7 @@
        "<Image src=\"/docs/images/tutorials/grovers-algorithm/extracted-outputs/283d5265-0.avif\" alt=\"Output of the previous code cell\" />"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -217,7 +265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "id": "f4c3d4b5",
    "metadata": {},
    "outputs": [],
@@ -241,7 +289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "id": "4933ae44",
    "metadata": {},
    "outputs": [
@@ -251,7 +299,7 @@
        "<Image src=\"/docs/images/tutorials/grovers-algorithm/extracted-outputs/4933ae44-0.avif\" alt=\"Output of the previous code cell\" />"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -277,7 +325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "id": "c9a3020e",
    "metadata": {},
    "outputs": [
@@ -287,7 +335,7 @@
        "<Image src=\"/docs/images/tutorials/grovers-algorithm/extracted-outputs/c9a3020e-0.avif\" alt=\"Output of the previous code cell\" />"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -315,7 +363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "id": "0eb154d4",
    "metadata": {},
    "outputs": [],
@@ -338,7 +386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "id": "a5ef9913",
    "metadata": {},
    "outputs": [
@@ -348,7 +396,7 @@
        "<Image src=\"/docs/images/tutorials/grovers-algorithm/extracted-outputs/a5ef9913-0.avif\" alt=\"Output of the previous code cell\" />"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }

docs/tutorials/hello-world.ipynb

@@ -327,8 +327,8 @@
     "\n",
     "  # Use the following code instead if you want to run on a simulator:\n",
     "\n",
-    "  from qiskit_ibm_runtime.fake_provider import FakeAlmadenV2\n",
-    "  backend = FakeAlmadenV2()\n",
+    "  from qiskit_ibm_runtime.fake_provider import FakeFez\n",
+    "  backend = FakeFez()\n",
     "  estimator = Estimator(backend)\n",
     "\n",
     "  # Convert to an ISA circuit and layout-mapped observables.\n",

docs/tutorials/multi-product-formula.ipynb

@@ -82,7 +82,6 @@
     "* Qiskit Runtime v0.22 or later (`pip install qiskit-ibm-runtime`)\n",
     "* MPF Qiskit addons (`pip install qiskit_addon_mpf`)\n",
     "* Qiskit addons utils (`pip install qiskit_addon_utils`)\n",
-    "* Rustworkx graph library (`pip install rustworkx`)\n",
     "* Quimb library (`pip install quimb`)\n",
     "* Qiskit Quimb library (`pip install qiskit-quimb`)\n",
     "* Numpy v0.21 for compatibility across packages (`pip install numpy==0.21`)"

docs/tutorials/operator-back-propagation.ipynb

@@ -8,7 +8,7 @@
     "{/* cspell:ignore simeq  // This in an equation and isn't being ignored correctly */}\n",
     "\n",
     "# Operator backpropagation (OBP) for estimation of expectation values\n",
-    "*Usage estimate: 16 minutes on ibm_nazca (NOTE: This is an estimate only. Your runtime might vary.)*"
+    "*Usage estimate: 16 minutes on an Eagle processor (NOTE: This is an estimate only. Your runtime might vary.)*"
    ]
   },
   {
@@ -68,8 +68,7 @@
     "- Qiskit SDK 1.2 or later (`pip install qiskit`)\n",
     "- Qiskit Runtime 0.28 or later (`pip install qiskit-ibm-runtime`)\n",
     "- OBP Qiskit addon (`pip install qiskit-addon-obp`)\n",
-    "- Qiskit addon utils (`pip install qiskit-addon-utils`)\n",
-    "- rustworkx 0.15 or later (`pip install rustworkx`)"
+    "- Qiskit addon utils (`pip install qiskit-addon-utils`)"
    ]
   },
   {

docs/tutorials/pauli-correlation-encoding-for-qaoa.ipynb

@@ -9,7 +9,7 @@
     "\n",
     "# Pauli Correlation Encoding to reduce Maxcut requirements\n",
     "\n",
-    "*Usage estimate: 30 minutes on ibm_sherbrooke (NOTE: This is an estimate only. Your runtime might vary.)*"
+    "*Usage estimate: 30 minutes on an Eagle processor (NOTE: This is an estimate only. Your runtime might vary.)*"
    ]
   },
   {
@@ -60,8 +60,7 @@
     "\n",
     "Before starting this tutorial, be sure you have the following installed:\n",
     "- Qiskit SDK v1.0 or later, with visualization support ( `pip install 'qiskit[visualization]'` )\n",
-    "- Qiskit Runtime 0.22 or later (`pip install qiskit-ibm-runtime`)\n",
-    "- Rustworkx graph library (`pip install rustworkx`)"
+    "- Qiskit Runtime 0.22 or later (`pip install qiskit-ibm-runtime`)"
    ]
   },
   {