Docs preview for PR #2711.

Author: cuda-quantum-bot

pr-2711/applications/python/adapt_qaoa.html

@@ -790,7 +790,7 @@ <h1>ADAPT-QAOA algorithm<a class="headerlink" href="#ADAPT-QAOA-algorithm" title
 parameter</p>
 <p>3- Optimize all parameters currently in the Ansatz <span class="math notranslate nohighlight">\(\beta_m, \gamma_m = 1, 2, ...k\)</span> such that <span class="math notranslate nohighlight">\(\braket{\psi (k)|H_C|\psi(k)}\)</span> is minimized, and return to the second step.</p>
 <p>Below is a schematic representation of the ADAPT-QAOA algorithm explained above.</p>
-<div><p><img alt="152f7eab51604a0392cfa359034a4b49" class="no-scaled-link" src="../../_images/adapt-qaoa.png" style="width: 600px;" /></p>
+<div><p><img alt="32aa93e6d321459abfc140fb6b19a2b9" class="no-scaled-link" src="../../_images/adapt-qaoa.png" style="width: 600px;" /></p>
 </div><div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
 </pre></div>

pr-2711/applications/python/deutschs_algorithm.html

@@ -847,7 +847,7 @@ <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="9a9c731318d54b26b5b66009ad0a0b49" class="no-scaled-link" src="../../_images/oracle.png" style="width: 300px; height: 150px;" /></p>
+<p><img alt="38c9ad2e9740475c9db5dddb22f57702" 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 logical 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">
@@ -895,7 +895,7 @@ <h2>Quantum parallelism<a class="headerlink" href="#Quantum-parallelism" title="
 <h2>Deutsch’s Algorithm:<a class="headerlink" href="#Deutsch's-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="15b781983b4b4d9ca2c6450e0255bc12" class="no-scaled-link" src="../../_images/deutsch.png" style="width: 500px; height: 210px;" /></p>
+<p><img alt="d443918c3cbb4c7d8c30bece21fd7068" 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-2711/applications/python/edge-detection.html

@@ -827,7 +827,7 @@ <h2>Image<a class="headerlink" href="#Image" title="Permalink to this heading">
 <section id="Quantum-Probability-Image-Encoding-(QPIE):">
 <h2>Quantum Probability Image Encoding (QPIE):<a class="headerlink" href="#Quantum-Probability-Image-Encoding-(QPIE):" title="Permalink to this heading">¶</a></h2>
 <p>Lets take as an example a classical 2x2 image (4 pixels). We can label each pixel with its position</p>
-<div><p><img alt="34fc237bbc5e44588f9a5d60ed206cbc" class="no-scaled-link" src="../../_images/pixels-img.png" style="width: 200px;" /></p>
+<div><p><img alt="20b03a8a9ec34d9ab07567824d30bbde" class="no-scaled-link" src="../../_images/pixels-img.png" style="width: 200px;" /></p>
 </div><p>Each pixel will have its own color intensity represented along with its position label as an 8-bit black and white color. To convert the pixel intensity to probability amplitudes of a quantum state</p>
 <div class="math notranslate nohighlight">
 \[c_i = \frac{I_{yx}}{\sqrt(\sum I^2_{yx})}\]</div>

pr-2711/applications/python/quantum_transformer.html

@@ -775,9 +775,9 @@ <h1>Optimizing Performance<a class="headerlink" href="#Optimizing-Performance" t
 <section id="Gate-Fusion">
 <h2>Gate Fusion<a class="headerlink" href="#Gate-Fusion" title="Permalink to this heading">¶</a></h2>
 <p>Gate fusion is an optimization technique where consecutive gates are combined into a single gate operation to improve the efficiency of the simulation (See figure below). By targeting the <code class="docutils literal notranslate"><span class="pre">nvidia-mgpu</span></code> backend and setting the <code class="docutils literal notranslate"><span class="pre">CUDAQ_MGPU_FUSE</span></code> environment variable, you can select the degree of fusion that takes place. A full command line example would look like <code class="docutils literal notranslate"><span class="pre">CUDAQ_MGPU_FUSE=4</span> <span class="pre">python</span> <span class="pre">c2h2VQE.py</span> <span class="pre">--target</span> <span class="pre">nvidia</span> <span class="pre">--target-option</span> <span class="pre">fp64,mgpu</span></code></p>
-<p><img alt="852df5bee3984a318900ce5bbc12b877" src="../../_images/gate-fuse.png" /></p>
+<p><img alt="b678221c2d5245d5a5c77800ba53701d" src="../../_images/gate-fuse.png" /></p>
 <p>The importance of gate fusion is system dependent, but can have a large influence on the performance of the simulation. See the example below for a 24 qubit VQE experiment where changing the fusion level resulted in significant performance boosts.</p>
-<p><img alt="b45af2d3b4774e349ef55e8e943f1746" src="../../_images/gatefusion.png" /></p>
+<p><img alt="93a654c50b824d49acec568c73b79c8b" src="../../_images/gatefusion.png" /></p>
 </section>
 </section>
 

pr-2711/examples/python/performance_optimizations.html

@@ -1045,6 +1045,7 @@ <h2>Building CUDA-Q<a class="headerlink" href="#building-cuda-q" title="Permalin
 <span class="w">    </span>--plat<span class="w"> </span><span class="si">${</span><span class="nv">MANYLINUX_PLATFORM</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>--exclude<span class="w"> </span>libcublas.so.11<span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>--exclude<span class="w"> </span>libcublasLt.so.11<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>--exclude<span class="w"> </span>libcurand.so.10<span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>--exclude<span class="w"> </span>libcusolver.so.11<span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>--exclude<span class="w"> </span>libcutensor.so.2<span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>--exclude<span class="w"> </span>libcutensornet.so.2<span class="w"> </span><span class="se">\</span>
@@ -1181,7 +1182,8 @@ <h3>CUDA Runtime Libraries<a class="headerlink" href="#cuda-runtime-libraries" t
 <span class="w">    </span>cuda-cudart-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>cuda-nvrtc-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>libcusolver-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
-<span class="w">    </span>libcublas-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span>
+<span class="w">    </span>libcublas-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>libcurand-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span>
 <span class="k">if</span><span class="w"> </span><span class="o">[</span><span class="w"> </span><span class="k">$(</span><span class="nb">echo</span><span class="w"> </span><span class="si">${</span><span class="nv">CUDA_VERSION</span><span class="si">}</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>cut<span class="w"> </span>-d<span class="w"> </span>.<span class="w"> </span>-f1<span class="k">)</span><span class="w"> </span>-gt<span class="w"> </span><span class="m">11</span><span class="w"> </span><span class="o">]</span><span class="p">;</span><span class="w"> </span><span class="k">then</span><span class="w"> </span>
 <span class="w">    </span>dnf<span class="w"> </span>install<span class="w"> </span>-y<span class="w"> </span>--nobest<span class="w"> </span>--setopt<span class="o">=</span><span class="nv">install_weak_deps</span><span class="o">=</span>False<span class="w"> </span><span class="se">\</span>
 <span class="w">        </span>libnvjitlink-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span>

pr-2711/searchindex.js

@@ -1331,7 +1331,8 @@ <h3>Installation In Container Images<a class="headerlink" href="#installation-in
 <span class="w">    </span>cuda-cudart-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>cuda-nvrtc-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
 <span class="w">    </span>libcusolver-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
-<span class="w">    </span>libcublas-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span>
+<span class="w">    </span>libcublas-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span><span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>libcurand-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span>
 <span class="k">if</span><span class="w"> </span><span class="o">[</span><span class="w"> </span><span class="k">$(</span><span class="nb">echo</span><span class="w"> </span><span class="si">${</span><span class="nv">CUDA_VERSION</span><span class="si">}</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>cut<span class="w"> </span>-d<span class="w"> </span>.<span class="w"> </span>-f1<span class="k">)</span><span class="w"> </span>-gt<span class="w"> </span><span class="m">11</span><span class="w"> </span><span class="o">]</span><span class="p">;</span><span class="w"> </span><span class="k">then</span><span class="w"> </span>
 <span class="w">    </span>dnf<span class="w"> </span>install<span class="w"> </span>-y<span class="w"> </span>--nobest<span class="w"> </span>--setopt<span class="o">=</span><span class="nv">install_weak_deps</span><span class="o">=</span>False<span class="w"> </span><span class="se">\</span>
 <span class="w">        </span>libnvjitlink-<span class="si">${</span><span class="nv">version_suffix</span><span class="si">}</span>