Docs preview for PR #2053.

pr-2053/_sources/releases.rst.txt

@@ -10,6 +10,37 @@ The latest version of CUDA-Q is on the main branch of our `GitHub repository <ht
 - `Documentation <https://nvidia.github.io/cuda-quantum/latest>`__
 - `Examples <https://github.com/NVIDIA/cuda-quantum/tree/main/docs/sphinx/examples>`__
 
+**0.8.0**
+
+The 0.8.0 release adds a range of changes to improve the ease of use and performance with CUDA-Q. 
+The changes listed below highlight some of what we think will be the most useful features and changes 
+to know about. While the listed changes do not capture all of the great contributions, we would like 
+to extend many thanks for every contribution, in particular those from external contributors.
+
+- `Docker image <https://catalog.ngc.nvidia.com/orgs/nvidia/teams/quantum/containers/cuda-quantum>`__
+- `Python wheel <https://pypi.org/project/cuda-quantum/0.8.0>`__
+- `C++ installer <https://github.com/NVIDIA/cuda-quantum/releases/0.8.0>`__
+- `Documentation <https://nvidia.github.io/cuda-quantum/0.8.0>`__
+- `Examples <https://github.com/NVIDIA/cuda-quantum/tree/releases/v0.8.0/docs/sphinx/examples>`__
+
+The full change log can be found `here <https://github.com/NVIDIA/cuda-quantum/releases/0.8.0>`__.
+
+**0.7.1**
+
+The 0.7.1 release adds simulator optimizations with significant performance improvements and 
+extends their functionalities. The `nvidia-mgpu` backend now supports user customization of the 
+gate fusion level as controlled by the `CUDAQ_MGPU_FUSE` environment variable documented 
+`here <https://nvidia.github.io/cuda-quantum/latest/using/backends/simulators.html>`__.
+It furthermore adds a range of bug fixes and changes the Python wheel installation instructions.
+
+- `Docker image <https://catalog.ngc.nvidia.com/orgs/nvidia/teams/quantum/containers/cuda-quantum/tags>`__
+- `Python wheel <https://pypi.org/project/cuda-quantum/0.7.1>`__
+- `C++ installer <https://github.com/NVIDIA/cuda-quantum/releases/0.7.1>`__
+- `Documentation <https://nvidia.github.io/cuda-quantum/0.7.1>`__
+- `Examples <https://github.com/NVIDIA/cuda-quantum/tree/releases/v0.7.1/docs/sphinx/examples>`__
+
+The full change log can be found `here <https://github.com/NVIDIA/cuda-quantum/releases/0.7.1>`__.
+
 **0.7.0**
 
 The 0.7.0 release adds support for using :doc:`NVIDIA Quantum Cloud <using/backends/nvqc>`,
@@ -19,13 +50,13 @@ Check out our `documentation <https://nvidia.github.io/cuda-quantum/latest/using
 to get started with the new Python syntax support we have added, and `follow our blog <https://developer.nvidia.com/cuda-q>`__
 to learn more about the new setup and its performance benefits.
 
-- `Docker image <https://catalog.ngc.nvidia.com/orgs/nvidia/teams/quantum/containers/cuda-quantum>`__
-- `Python wheel <https://pypi.org/project/cuda-quantum/>`__
-- `C++ installer <https://github.com/NVIDIA/cuda-quantum/releases>`__
+- `Docker image <https://catalog.ngc.nvidia.com/orgs/nvidia/teams/quantum/containers/cuda-quantum/tags>`__
+- `Python wheel <https://pypi.org/project/cuda-quantum/0.7.0>`__
+- `C++ installer <https://github.com/NVIDIA/cuda-quantum/releases/0.7.0>`__
 - `Documentation <https://nvidia.github.io/cuda-quantum/0.7.0>`__
 - `Examples <https://github.com/NVIDIA/cuda-quantum/tree/releases/v0.7.0/docs/sphinx/examples>`__
 
-The full change log can be found `here <https://github.com/NVIDIA/cuda-quantum/releases>`__.
+The full change log can be found `here <https://github.com/NVIDIA/cuda-quantum/releases/0.7.0>`__.
 
 **0.6.0**
 

pr-2053/api/languages/python_api.html

@@ -2085,7 +2085,7 @@ <h2>Data Types<a class="headerlink" href="#data-types" title="Permalink to this
 <em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">random</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#cudaq.SpinOperator.random" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="py function">
 <dt class="sig sig-object py">
-<span class="sig-name descname"><span class="pre">random</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">qubit_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">term_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1650576554</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#cudaq.SpinOperator" title="cudaq.mlir._mlir_libs._quakeDialects.cudaq_runtime.SpinOperator"><span class="pre">cudaq.mlir._mlir_libs._quakeDialects.cudaq_runtime.SpinOperator</span></a></span></span></dt>
+<span class="sig-name descname"><span class="pre">random</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">qubit_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">term_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3087171799</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#cudaq.SpinOperator" title="cudaq.mlir._mlir_libs._quakeDialects.cudaq_runtime.SpinOperator"><span class="pre">cudaq.mlir._mlir_libs._quakeDialects.cudaq_runtime.SpinOperator</span></a></span></span></dt>
 <dd></dd></dl>
 
 <p>Return a random <a class="reference internal" href="#cudaq.SpinOperator" title="cudaq.SpinOperator"><code class="xref py py-class docutils literal notranslate"><span class="pre">SpinOperator</span></code></a> on the given number of qubits (<code class="code docutils literal notranslate"><span class="pre">qubit_count</span></code>) and composed of the given number of terms (<code class="code docutils literal notranslate"><span class="pre">term_count</span></code>). An optional seed value may also be provided.</p>

pr-2053/examples/python/tutorials/deutschs_algorithm.html

@@ -639,7 +639,7 @@ <h2>XOR <span class="math notranslate nohighlight">\(\oplus\)</span><a class="he
 </section>
 <section id="Quantum-oracles">
 <h2>Quantum oracles<a class="headerlink" href="#Quantum-oracles" title="Permalink to this heading">¶</a></h2>
-<p><img alt="18cffe96cffc41f3ad3c77eac7d35632" class="no-scaled-link" src="../../../_images/oracle.png" style="width: 300px; height: 150px;" /></p>
+<p><img alt="791c713e8c134b4987844c4073036fac" class="no-scaled-link" src="../../../_images/oracle.png" style="width: 300px; height: 150px;" /></p>
 <p>Suppose we have <span class="math notranslate nohighlight">\(f(x): \{0,1\} \longrightarrow \{0,1\}\)</span>. We can compute this function on a quantum computer using oracles which we treat as black box functions that yield the output with an appropriate sequence of logic gates.</p>
 <p>Above you see an oracle represented as <span class="math notranslate nohighlight">\(U_f\)</span> which allows us to transform the state <span class="math notranslate nohighlight">\(\ket{x}\ket{y}\)</span> into:</p>
 <div class="math notranslate nohighlight">
@@ -687,7 +687,7 @@ <h2>Quantum parallelism<a class="headerlink" href="#Quantum-parallelism" title="
 <h2>Deutschs’ Algorithm:<a class="headerlink" href="#Deutschs'-Algorithm:" title="Permalink to this heading">¶</a></h2>
 <p>Our aim is to find out if <span class="math notranslate nohighlight">\(f: \{0,1\} \longrightarrow \{0,1\}\)</span> is a constant or a balanced function? If constant, <span class="math notranslate nohighlight">\(f(0) = f(1)\)</span>, and if balanced, <span class="math notranslate nohighlight">\(f(0) \neq f(1)\)</span>.</p>
 <p>We step through the circuit diagram below and follow the math after the application of each gate.</p>
-<p><img alt="7ccacd0da36840d785b00d5c800a144c" class="no-scaled-link" src="../../../_images/deutsch.png" style="width: 500px; height: 210px;" /></p>
+<p><img alt="fd8be992548145b6b7b8b8fb367edd1a" class="no-scaled-link" src="../../../_images/deutsch.png" style="width: 500px; height: 210px;" /></p>
 <div class="math notranslate nohighlight">
 \[\ket{\psi_0}  =  \ket{01}
 \tag{1}\]</div>

pr-2053/examples/python/tutorials/visualization.html

@@ -605,17 +605,17 @@ <h2>Qubit Visualization<a class="headerlink" href="#Qubit-Visualization" title="
 Tools not found, installing. Please restart your kernel after this is done.
 Collecting qutip&gt;=5
   Downloading qutip-5.0.3.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (28.0 MB)
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+     <span class="ansi-black-intense-fg">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-green-fg">28.0/28.0 MB</span> <span class="ansi-red-fg">58.9 MB/s</span> eta <span class="ansi-cyan-fg">0:00:00</span>
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 Installing collected packages: qutip