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.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 9819ffc6e12194ec337e2a6db159e35c
+config: 29ed7a05517d7dde50ab7eb968f02f45
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_sources/getting_started.rst.txt

@@ -7,9 +7,9 @@ Getting started
 Installation
 ============
 
-Qiskit Optimization depends Qiskit. which has its own
-`Qiskit Getting Started <https://qiskit.org/documentation/getting_started.html>`__ detailing the
-installation options and its supported environments/platforms. You should refer to
+Qiskit Optimization depends on Qiskit, which has its own
+`installation instructions <https://docs.quantum.ibm.com/start/install>`__ detailing the
+installation options for Qiskit and its supported environments/platforms. You should refer to
 that first. Then the information here can be followed which focuses on the additional installation
 specific to Qiskit Optimization.
 
@@ -21,13 +21,9 @@ See :ref:`optional_installs` for more information.
 
     .. tab-item:: Start locally
 
-        The simplest way to get started is to first follow the `getting started 'Start locally' guide for
-        Qiskit <https://qiskit.org/documentation/getting_started.html>`__
+        The simplest way to get started is to follow the `Qiskit installation instructions <https://docs.quantum.ibm.com/start/install>`__
 
-        In your virtual environment where you installed Qiskit simply add ``optimization`` to the
-        extra list in a similar manner to how the extra ``visualization`` support is installed for
-        Qiskit, i.e:
-        In your virtual environment, where you installed Qiskit, install Qiskit Optimization as follows:
+        In your virtual environment where you installed Qiskit, also install ``qiskit-optimization``:
 
         .. code:: sh
 
@@ -48,7 +44,7 @@ See :ref:`optional_installs` for more information.
 
        Since Qiskit Optimization depends on Qiskit, and its latest changes may require new or changed
        features of Qiskit, you should first follow Qiskit's `"Install from source"` instructions
-       here `Qiskit Getting Started <https://qiskit.org/documentation/getting_started.html>`__
+       `here <https://docs.quantum.ibm.com/start/install-qiskit-source>`__
 
        .. raw:: html
 

_sources/migration/01_migration_guide_to_v0.5.rst.txt

@@ -9,7 +9,7 @@ Overview
 
 Qiskit Terra v0.22 introduces new algorithm implementations that
 leverage `Qiskit
-Primitives <https://qiskit.org/documentation/apidoc/primitives.html>`__
+Primitives <https://docs.quantum.ibm.com/api/qiskit/primitives>`__
 (Estimator and Sampler). The former algorithm implementations that
 leverage opflow will be deprecated in the future release.
 
@@ -19,7 +19,7 @@ of Qiskit Terra v0.22 until the former algorithms are deprecated.
 It is not the intention to provide detailed explanations of the
 primitives in this migration guide. We suggest that you read the
 `corresponding
-resources <https://qiskit.org/documentation/apidoc/primitives.html>`__
+resources <https://docs.quantum.ibm.com/api/qiskit/primitives>`__
 of the Qiskit Terra documentation instead.
 
 We use ``qiskit.primitives.Sampler`` in this guide as an example of

_sources/tutorials/12_quantum_random_access_optimizer.ipynb.txt

@@ -51,7 +51,7 @@
     "To begin, we utilize the `Maxcut` class from Qiskit Optimization's application module. It allows us to generate a `QuadraticProgram` representation of the given graph.\n",
     "\n",
     "Note that once our problem has been represented as a `QuadraticProgram`, it will need to be converted to the correct type, a [quadratic unconstrained binary optimization (QUBO)](https://en.wikipedia.org/wiki/Quadratic_unconstrained_binary_optimization) problem, so that it is compatible with QRAO.\n",
-    "A `QuadraticProgram` generated by `Maxcut` is already a QUBO, but if you define your own problem be sure you convert it to a QUBO before proceeding. Here is [a tutorial](https://qiskit.org/documentation/optimization/tutorials/02_converters_for_quadratic_programs.html) on converting `QuadraticPrograms`."
+    "A `QuadraticProgram` generated by `Maxcut` is already a QUBO, but if you define your own problem be sure you convert it to a QUBO before proceeding. Here is [a tutorial](https://qiskit-community.github.io/qiskit-optimization/tutorials/02_converters_for_quadratic_programs.html) on converting `QuadraticPrograms`."
    ]
   },
   {
@@ -113,7 +113,7 @@
     "\n",
     "Once we have appropriately configured our problem, we proceed to encode it using the `QuantumRandomAccessEncoding` class from the `qrao` module. This encoding step allows us to generate a quantum Hamiltonian operator that represents our problem. In particular, we employ a Quantum Random Access Code (QRAC) to encode multiple classical binary variables (corresponding to the nodes of our max-cut graph) into each qubit.\n",
     "\n",
-    "It's important to note that the resulting \"relaxed\" Hamiltonian, produced by this encoding, will not be diagonal. This differs from the standard workflow in `qiskit-optimization`, which typically generates a diagonal (Ising) Hamiltonian suitable for optimization using a `MinimumEigenOptimizer`. You can find a tutorial on the `MinimumEigenOptimizer` [here](https://qiskit.org/documentation/optimization/tutorials/03_minimum_eigen_optimizer.html).\n",
+    "It's important to note that the resulting \"relaxed\" Hamiltonian, produced by this encoding, will not be diagonal. This differs from the standard workflow in `qiskit-optimization`, which typically generates a diagonal (Ising) Hamiltonian suitable for optimization using a `MinimumEigenOptimizer`. You can find a tutorial on the `MinimumEigenOptimizer` [here](https://qiskit-community.github.io/qiskit-optimization/tutorials/03_minimum_eigen_optimizer.html).\n",
     "\n",
     "In our encoding process, we employ a $(3,1,p)-$QRAC, where each qubit can accommodate a maximum of 3 classical binary variables. The parameter $p$ represents the bit recovery probability achieved through measurement. Depending on the nature of the problem, some qubits may have fewer than 3 classical variables assigned to them. To evaluate the compression achieved, we can examine the `compression_ratio` attribute of the encoding, which provides the ratio between the number of original binary variables and the number of qubits used (at best, a factor of 3)."
    ]
@@ -552,7 +552,7 @@
     "\n",
     "By invoking `qrao.solve_relaxed()`, we obtain two essential outputs:\n",
     "\n",
-    "- `MinimumEigensolverResult`: This object contains the results of running the minimum eigen optimizer such as the VQE on the relaxed problem. It provides information about the eigenvalue, and other relevant details. You can refer to the Qiskit Algorithms [documentation](https://qiskit.org/documentation/stubs/qiskit.algorithms.MinimumEigensolverResult.html) for a comprehensive explanation of the entries within this object.\n",
+    "- `MinimumEigensolverResult`: This object contains the results of running the minimum eigen optimizer such as the VQE on the relaxed problem. It provides information about the eigenvalue, and other relevant details. You can refer to the Qiskit Algorithms [documentation](https://docs.quantum.ibm.com/api/qiskit/qiskit.algorithms.MinimumEigensolverResult) for a comprehensive explanation of the entries within this object.\n",
     "- `RoundingContext`: This object encapsulates essential information about the encoding and the solution of the relaxed problem in a form that is ready for consumption by the rounding schemes."
    ]
   },

getting_started.html

@@ -432,9 +432,9 @@
 <h1>Getting started<a class="headerlink" href="#getting-started" title="Permalink to this heading">#</a></h1>
 <section id="installation">
 <h2>Installation<a class="headerlink" href="#installation" title="Permalink to this heading">#</a></h2>
-<p>Qiskit Optimization depends Qiskit. which has its own
-<a class="reference external" href="https://qiskit.org/documentation/getting_started.html">Qiskit Getting Started</a> detailing the
-installation options and its supported environments/platforms. You should refer to
+<p>Qiskit Optimization depends on Qiskit, which has its own
+<a class="reference external" href="https://docs.quantum.ibm.com/start/install">installation instructions</a> detailing the
+installation options for Qiskit and its supported environments/platforms. You should refer to
 that first. Then the information here can be followed which focuses on the additional installation
 specific to Qiskit Optimization.</p>
 <p>Qiskit Optimization has some functions that have been made optional where the dependent code and/or
@@ -444,12 +444,8 @@ <h2>Installation<a class="headerlink" href="#installation" title="Permalink to t
 <input checked="checked" id="sd-tab-item-0" name="sd-tab-set-0" type="radio">
 </input><label class="sd-tab-label" for="sd-tab-item-0">
 Start locally</label><div class="sd-tab-content docutils">
-<p>The simplest way to get started is to first follow the <a class="reference external" href="https://qiskit.org/documentation/getting_started.html">getting started ‘Start locally’ guide for
-Qiskit</a></p>
-<p>In your virtual environment where you installed Qiskit simply add <code class="docutils literal notranslate"><span class="pre">optimization</span></code> to the
-extra list in a similar manner to how the extra <code class="docutils literal notranslate"><span class="pre">visualization</span></code> support is installed for
-Qiskit, i.e:
-In your virtual environment, where you installed Qiskit, install Qiskit Optimization as follows:</p>
+<p>The simplest way to get started is to follow the <a class="reference external" href="https://docs.quantum.ibm.com/start/install">Qiskit installation instructions</a></p>
+<p>In your virtual environment where you installed Qiskit, also install <code class="docutils literal notranslate"><span class="pre">qiskit-optimization</span></code>:</p>
 <div class="highlight-sh notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>qiskit-optimization
 </pre></div>
 </div>
@@ -469,7 +465,7 @@ <h2>Installation<a class="headerlink" href="#installation" title="Permalink to t
 the latest version of the Qiskit Optimization code more efficiently.</p>
 <p>Since Qiskit Optimization depends on Qiskit, and its latest changes may require new or changed
 features of Qiskit, you should first follow Qiskit’s <cite>“Install from source”</cite> instructions
-here <a class="reference external" href="https://qiskit.org/documentation/getting_started.html">Qiskit Getting Started</a></p>
+<a class="reference external" href="https://docs.quantum.ibm.com/start/install-qiskit-source">here</a></p>
 <h2>Installing Qiskit Optimization from Source</h2><p>Using the same development environment that you installed Qiskit in you are ready to install
 Qiskit Optimization.</p>
 <ol class="arabic">

migration/01_migration_guide_to_v0.5.html

@@ -435,15 +435,15 @@ <h1>Qiskit Optimization v0.5 Migration Guide<a class="headerlink" href="#qiskit-
 <section id="overview">
 <h2>Overview<a class="headerlink" href="#overview" title="Permalink to this heading">#</a></h2>
 <p>Qiskit Terra v0.22 introduces new algorithm implementations that
-leverage <a class="reference external" href="https://qiskit.org/documentation/apidoc/primitives.html">Qiskit
+leverage <a class="reference external" href="https://docs.quantum.ibm.com/api/qiskit/primitives">Qiskit
 Primitives</a>
 (Estimator and Sampler). The former algorithm implementations that
 leverage opflow will be deprecated in the future release.</p>
 <p>Qiskit Optimization v0.5 supports both the new and the former algorithms
 of Qiskit Terra v0.22 until the former algorithms are deprecated.</p>
 <p>It is not the intention to provide detailed explanations of the
 primitives in this migration guide. We suggest that you read the
-<a class="reference external" href="https://qiskit.org/documentation/apidoc/primitives.html">corresponding
+<a class="reference external" href="https://docs.quantum.ibm.com/api/qiskit/primitives">corresponding
 resources</a>
 of the Qiskit Terra documentation instead.</p>
 <p>We use <code class="docutils literal notranslate"><span class="pre">qiskit.primitives.Sampler</span></code> in this guide as an example of

tutorials/01_quadratic_program.html

@@ -1068,15 +1068,15 @@ <h2>Substituting Variables<a class="headerlink" href="#Substituting-Variables" t
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/tmp/ipykernel_2278/1492642725.py:1: DeprecationWarning: qiskit.tools.jupyter is deprecated and will be removed in Qiskit 1.0.0
+/tmp/ipykernel_2289/1492642725.py:1: DeprecationWarning: qiskit.tools.jupyter is deprecated and will be removed in Qiskit 1.0.0
   import qiskit.tools.jupyter
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area rendered_html docutils container">
-<h3>Version Information</h3><table><tr><th>Software</th><th>Version</th></tr><tr><td><code>qiskit</code></td><td>0.46.0</td></tr><tr><td><code>qiskit_optimization</code></td><td>0.6.0</td></tr><tr><th colspan='2'>System information</th></tr><tr><td>Python version</td><td>3.8.18</td></tr><tr><td>Python compiler</td><td>GCC 11.4.0</td></tr><tr><td>Python build</td><td>default, Aug 28 2023 08:27:22</td></tr><tr><td>OS</td><td>Linux</td></tr><tr><td>CPUs</td><td>2</td></tr><tr><td>Memory (Gb)</td><td>15.60690689086914</td></tr><tr><td colspan='2'>Fri Feb 09 16:51:30 2024 UTC</td></tr></table></div>
+<h3>Version Information</h3><table><tr><th>Software</th><th>Version</th></tr><tr><td><code>qiskit</code></td><td>0.46.0</td></tr><tr><td><code>qiskit_optimization</code></td><td>0.6.0</td></tr><tr><th colspan='2'>System information</th></tr><tr><td>Python version</td><td>3.8.18</td></tr><tr><td>Python compiler</td><td>GCC 11.4.0</td></tr><tr><td>Python build</td><td>default, Aug 28 2023 08:27:22</td></tr><tr><td>OS</td><td>Linux</td></tr><tr><td>CPUs</td><td>2</td></tr><tr><td>Memory (Gb)</td><td>15.60690689086914</td></tr><tr><td colspan='2'>Wed Feb 14 16:06:22 2024 UTC</td></tr></table></div>
 </div>
 <div class="nboutput nblast docutils container">
 <div class="prompt empty docutils container">
@@ -1093,7 +1093,7 @@ <h3>Version Information</h3><table><tr><th>Software</th><th>Version</th></tr><tr
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