deploy: 2465096

.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: 7dc6ead12f75765feb04f853a2b39d9c
+config: 8365d5a1b98ac8bff74269377270566c
 tags: 645f666f9bcd5a90fca523b33c5a78b7

.doctrees/nbsphinx/tutorials/0_tutorial_qiskit-braket-provider_overview.ipynb

@@ -694,7 +694,7 @@
     "\n",
     "Let’s take a look at an example to construct a VQE instance. Here `TwoLocal` is the variational form (trial wavefunction), a parameterized circuit which can be varied, and SLSQP a classical optimizer. Then we pass hamiltonian to `compute_minimum_eigenvalue` method of `VQE` to get result.\n",
     "\n",
-    "Full example and explanation of algorithm detail you can find [here](https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#An-Introduction-to-Algorithms-in-Qiskit).\n",
+    "Full example and explanation of algorithm detail you can find [here](https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html).\n",
     "\n"
    ]
   },

.doctrees/nbsphinx/tutorials/1_tutorial_vqe.ipynb

@@ -90,7 +90,7 @@
     "\n",
     "\n",
     "\n",
-    "More docs on VQE and algorithms https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#A-complete-working-example"
+    "More docs on VQE and algorithms https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html#A-complete-working-example"
    ]
   },
   {

.doctrees/nbsphinx/tutorials/3_tutorial_minimum_eigen_optimizer.ipynb

@@ -8,7 +8,7 @@
    "source": [
     "# Tutorial: Minimum Eigen Optimizer\n",
     "\n",
-    "For original tutorial refer to https://qiskit.org/documentation/optimization/tutorials/03_minimum_eigen_optimizer.html"
+    "For original tutorial refer to https://qiskit-community.github.io/qiskit-optimization/tutorials/03_minimum_eigen_optimizer.html#"
    ]
   },
   {

_sources/tutorials/0_tutorial_qiskit-braket-provider_overview.ipynb.txt

@@ -694,7 +694,7 @@
     "\n",
     "Let’s take a look at an example to construct a VQE instance. Here `TwoLocal` is the variational form (trial wavefunction), a parameterized circuit which can be varied, and SLSQP a classical optimizer. Then we pass hamiltonian to `compute_minimum_eigenvalue` method of `VQE` to get result.\n",
     "\n",
-    "Full example and explanation of algorithm detail you can find [here](https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#An-Introduction-to-Algorithms-in-Qiskit).\n",
+    "Full example and explanation of algorithm detail you can find [here](https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html).\n",
     "\n"
    ]
   },

_sources/tutorials/1_tutorial_vqe.ipynb.txt

@@ -90,7 +90,7 @@
     "\n",
     "\n",
     "\n",
-    "More docs on VQE and algorithms https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#A-complete-working-example"
+    "More docs on VQE and algorithms https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html#A-complete-working-example"
    ]
   },
   {

_sources/tutorials/3_tutorial_minimum_eigen_optimizer.ipynb.txt

@@ -8,7 +8,7 @@
    "source": [
     "# Tutorial: Minimum Eigen Optimizer\n",
     "\n",
-    "For original tutorial refer to https://qiskit.org/documentation/optimization/tutorials/03_minimum_eigen_optimizer.html"
+    "For original tutorial refer to https://qiskit-community.github.io/qiskit-optimization/tutorials/03_minimum_eigen_optimizer.html#"
    ]
   },
   {

tutorials/0_tutorial_qiskit-braket-provider_overview.html

@@ -600,7 +600,7 @@ <h2>Running algorithms<a class="headerlink" href="#Running-algorithms" title="Li
 <p>Qiskit provides a number of Algorithms and they are grouped by category according to the task they can perform. For instance Minimum Eigensolvers to find the smallest eigen value of an operator, for example ground state energy of a chemistry Hamiltonian or a solution to an optimization problem when expressed as an Ising Hamiltonian.</p>
 <p>Algorithms are configurable and often part of the configuration will be in the form of smaller building blocks, of which different instances of the building block type can be given. For instance with <code class="docutils literal notranslate"><span class="pre">VQE</span></code>, the Variational Quantum Eigensolver, it takes a trial wavefunction, in the form of a <code class="docutils literal notranslate"><span class="pre">QuantumCircuit</span></code> and a classical optimizer among other things.</p>
 <p>Let’s take a look at an example to construct a VQE instance. Here <code class="docutils literal notranslate"><span class="pre">TwoLocal</span></code> is the variational form (trial wavefunction), a parameterized circuit which can be varied, and SLSQP a classical optimizer. Then we pass hamiltonian to <code class="docutils literal notranslate"><span class="pre">compute_minimum_eigenvalue</span></code> method of <code class="docutils literal notranslate"><span class="pre">VQE</span></code> to get result.</p>
-<p>Full example and explanation of algorithm detail you can find <a class="reference external" href="https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#An-Introduction-to-Algorithms-in-Qiskit">here</a>.</p>
+<p>Full example and explanation of algorithm detail you can find <a class="reference external" href="https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html">here</a>.</p>
 <div class="nbinput docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[18]:
 </pre></div>

tutorials/0_tutorial_qiskit-braket-provider_overview.ipynb

@@ -694,7 +694,7 @@
     "\n",
     "Let’s take a look at an example to construct a VQE instance. Here `TwoLocal` is the variational form (trial wavefunction), a parameterized circuit which can be varied, and SLSQP a classical optimizer. Then we pass hamiltonian to `compute_minimum_eigenvalue` method of `VQE` to get result.\n",
     "\n",
-    "Full example and explanation of algorithm detail you can find [here](https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#An-Introduction-to-Algorithms-in-Qiskit).\n",
+    "Full example and explanation of algorithm detail you can find [here](https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html).\n",
     "\n"
    ]
   },

tutorials/1_tutorial_vqe.html

@@ -298,7 +298,7 @@ <h1>Tutorial: Runing VQE on Braket backend<a class="headerlink" href="#Tutorial:
 </pre></div></div>
 </div>
 <p>Running VQE</p>
-<p>More docs on VQE and algorithms <a class="reference external" href="https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#A-complete-working-example">https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#A-complete-working-example</a></p>
+<p>More docs on VQE and algorithms <a class="reference external" href="https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html#A-complete-working-example">https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html#A-complete-working-example</a></p>
 <div class="nbinput docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
 </pre></div>

tutorials/1_tutorial_vqe.ipynb

@@ -90,7 +90,7 @@
     "\n",
     "\n",
     "\n",
-    "More docs on VQE and algorithms https://qiskit.org/documentation/tutorials/algorithms/01_algorithms_introduction.html#A-complete-working-example"
+    "More docs on VQE and algorithms https://qiskit-community.github.io/qiskit-algorithms/tutorials/01_algorithms_introduction.html#A-complete-working-example"
    ]
   },
   {

tutorials/3_tutorial_minimum_eigen_optimizer.html

@@ -241,7 +241,7 @@
         <article role="main">
           <section id="Tutorial:-Minimum-Eigen-Optimizer">
 <h1>Tutorial: Minimum Eigen Optimizer<a class="headerlink" href="#Tutorial:-Minimum-Eigen-Optimizer" title="Link to this heading">#</a></h1>
-<p>For original tutorial refer to <a class="reference external" href="https://qiskit.org/documentation/optimization/tutorials/03_minimum_eigen_optimizer.html">https://qiskit.org/documentation/optimization/tutorials/03_minimum_eigen_optimizer.html</a></p>
+<p>For original tutorial refer to <a class="reference external" href="https://qiskit-community.github.io/qiskit-optimization/tutorials/03_minimum_eigen_optimizer">https://qiskit-community.github.io/qiskit-optimization/tutorials/03_minimum_eigen_optimizer</a>.html#</p>
 <div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
 </pre></div>

tutorials/3_tutorial_minimum_eigen_optimizer.ipynb

@@ -8,7 +8,7 @@
    "source": [
     "# Tutorial: Minimum Eigen Optimizer\n",
     "\n",
-    "For original tutorial refer to https://qiskit.org/documentation/optimization/tutorials/03_minimum_eigen_optimizer.html"
+    "For original tutorial refer to https://qiskit-community.github.io/qiskit-optimization/tutorials/03_minimum_eigen_optimizer.html#"
    ]
   },
   {