Docs preview for PR #2533.

pr-2533/api/languages/cpp_api.html

@@ -1550,6 +1550,12 @@ <h2>Common<a class="headerlink" href="#common" title="Permalink to this heading"
 <dd><p>The number of trajectories to be used for an expectation calculation on simulation backends that support trajectory simulation. </p>
 </dd></dl>
 
+<dl class="cpp var">
+<dt class="sig sig-object cpp" id="_CPPv4N5cudaq16ExecutionContext9outputLogE">
+<span class="target" id="classcudaq_1_1ExecutionContext_1acb803bc82b3d3a66c638c003a2a4e6ea"></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">outputLog</span></span></span><a class="headerlink" href="#_CPPv4N5cudaq16ExecutionContext9outputLogE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>A string containing the output logging of a kernel launched with cudaq::run. </p>
+</dd></dl>
+
 </div>
 </dd></dl>
 

pr-2533/applications/python/deutschs_algorithm.html

@@ -822,7 +822,7 @@ <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="342733c00fbb4cd68df78e4316a2dfa3" class="no-scaled-link" src="../../_images/oracle.png" style="width: 300px; height: 150px;" /></p>
+<p><img alt="988afb67f4334360acd2cf5afdb22507" 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">
@@ -870,7 +870,7 @@ <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="7fc95401925a423aafc269d07b939e89" class="no-scaled-link" src="../../_images/deutsch.png" style="width: 500px; height: 210px;" /></p>
+<p><img alt="3ae66d34086a42c4a2c05e05ff0240e6" 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-2533/examples/python/executing_photonic_kernels.html

@@ -806,7 +806,7 @@ <h2>Sample<a class="headerlink" href="#Sample" title="Permalink to this heading"
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-{ 02:361 11:240 20:399 }
+{ 02:379 11:255 20:366 }
 
 </pre></div></div>
 </div>
@@ -894,7 +894,7 @@ <h2>Parallelization Techniques<a class="headerlink" href="#Parallelization-Techn
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-CUDA-Q Version  (https://github.com/NVIDIA/cuda-quantum c594e2d9c494c0a07cfb154b5efb9397760428dd)
+CUDA-Q Version  (https://github.com/NVIDIA/cuda-quantum 8505897ac27b90e4f1947966369f35184f7f3632)
 </pre></div></div>
 </div>
 </section>

pr-2533/examples/python/executing_photonic_kernels.ipynb

@@ -23,10 +23,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-01-30T01:08:29.677587Z",
-     "iopub.status.busy": "2025-01-30T01:08:29.677304Z",
-     "iopub.status.idle": "2025-01-30T01:08:32.316367Z",
-     "shell.execute_reply": "2025-01-30T01:08:32.315698Z"
+     "iopub.execute_input": "2025-01-31T08:36:28.826553Z",
+     "iopub.status.busy": "2025-01-31T08:36:28.826393Z",
+     "iopub.status.idle": "2025-01-31T08:36:31.532710Z",
+     "shell.execute_reply": "2025-01-31T08:36:31.531647Z"
     }
    },
    "outputs": [
@@ -42,7 +42,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{ 02:361 11:240 20:399 }\n",
+      "{ 02:379 11:255 20:366 }\n",
       "\n"
      ]
     }
@@ -95,10 +95,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-01-30T01:08:32.318191Z",
-     "iopub.status.busy": "2025-01-30T01:08:32.317882Z",
-     "iopub.status.idle": "2025-01-30T01:08:32.360781Z",
-     "shell.execute_reply": "2025-01-30T01:08:32.360190Z"
+     "iopub.execute_input": "2025-01-31T08:36:31.535230Z",
+     "iopub.status.busy": "2025-01-31T08:36:31.534955Z",
+     "iopub.status.idle": "2025-01-31T08:36:31.577603Z",
+     "shell.execute_reply": "2025-01-31T08:36:31.574121Z"
     }
    },
    "outputs": [
@@ -183,18 +183,18 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-01-30T01:08:32.362193Z",
-     "iopub.status.busy": "2025-01-30T01:08:32.362061Z",
-     "iopub.status.idle": "2025-01-30T01:08:32.364661Z",
-     "shell.execute_reply": "2025-01-30T01:08:32.364236Z"
+     "iopub.execute_input": "2025-01-31T08:36:31.580196Z",
+     "iopub.status.busy": "2025-01-31T08:36:31.580040Z",
+     "iopub.status.idle": "2025-01-31T08:36:31.583683Z",
+     "shell.execute_reply": "2025-01-31T08:36:31.582795Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CUDA-Q Version  (https://github.com/NVIDIA/cuda-quantum c594e2d9c494c0a07cfb154b5efb9397760428dd)\n"
+      "CUDA-Q Version  (https://github.com/NVIDIA/cuda-quantum 8505897ac27b90e4f1947966369f35184f7f3632)\n"
      ]
     }
    ],

pr-2533/examples/python/performance_optimizations.html

@@ -750,9 +750,9 @@ <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="2bf598db89054ce991173c3e12ff0189" src="../../_images/gate-fuse.png" /></p>
+<p><img alt="80aea6249e374f82a895703bf3b3df98" 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="46a59b1f8d8d4e559106629e703f5cac" src="../../_images/gatefusion.png" /></p>
+<p><img alt="d3274086178249c6a1e3082eb1c8cdf7" src="../../_images/gatefusion.png" /></p>
 </section>
 </section>
 

pr-2533/genindex.html

@@ -1005,6 +1005,8 @@ <h2 id="C">C</h2>
       <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq16ExecutionContext18numberTrajectoriesE">cudaq::ExecutionContext::numberTrajectories (C++ member)</a>
 </li>
       <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq16ExecutionContext9optResultE">cudaq::ExecutionContext::optResult (C++ member)</a>
+</li>
+      <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq16ExecutionContext9outputLogE">cudaq::ExecutionContext::outputLog (C++ member)</a>
 </li>
       <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq16ExecutionContext20overlapComputeStatesE">cudaq::ExecutionContext::overlapComputeStates (C++ member)</a>
 </li>
@@ -1247,11 +1249,11 @@ <h2 id="C">C</h2>
       <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU12launchKernelERKNSt6stringE15KernelThunkTypePvNSt8uint64_tENSt8uint64_tERKNSt6vectorIPvEE">cudaq::QPU::launchKernel (C++ function)</a>, <a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU12launchKernelERKNSt6stringERKNSt6vectorIPvEE">[1]</a>
 </li>
       <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU29launchSerializedCodeExecutionERKNSt6stringERN5cudaq30SerializedCodeExecutionContextE">cudaq::QPU::launchSerializedCodeExecution (C++ function)</a>
-</li>
-      <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU15onRandomSeedSetENSt6size_tE">cudaq::QPU::onRandomSeedSet (C++ function)</a>
 </li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU15onRandomSeedSetENSt6size_tE">cudaq::QPU::onRandomSeedSet (C++ function)</a>
+</li>
       <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU3QPUENSt6size_tE">cudaq::QPU::QPU (C++ function)</a>, <a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU3QPUERR3QPU">[1]</a>, <a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU3QPUEv">[2]</a>
 </li>
       <li><a href="api/languages/cpp_api.html#_CPPv4N5cudaq3QPU21resetExecutionContextEv">cudaq::QPU::resetExecutionContext (C++ function)</a>