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2 changes: 1 addition & 1 deletion pr-2487/CMakeLists.txt
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# ============================================================================ #
# Copyright (c) 2022 - 2024 NVIDIA Corporation & Affiliates. #
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2 changes: 1 addition & 1 deletion pr-2487/_static/cudaq_override.css
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/*******************************************************************************
* Copyright (c) 2022 - 2024 NVIDIA Corporation & Affiliates. *
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Expand Up @@ -745,7 +745,7 @@ <h1>Code documentation<a class="headerlink" href="#code-documentation" title="Pe
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Expand Up @@ -4119,7 +4119,7 @@ <h2>Namespaces<a class="headerlink" href="#namespaces" title="Permalink to this
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Expand Up @@ -3647,7 +3647,7 @@ <h2>ORCA Submodule<a class="headerlink" href="#orca-submodule" title="Permalink
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Expand Up @@ -899,7 +899,7 @@ <h2>Implementing in CUDA-Q<a class="headerlink" href="#Implementing-in-CUDA-Q" t
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Expand Up @@ -870,7 +870,7 @@ <h1>Cost Minimization<a class="headerlink" href="#Cost-Minimization" title="Perm
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Expand Up @@ -803,7 +803,7 @@ <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="65266d5669644cd0b082dd0bb9172f2e" class="no-scaled-link" src="../../_images/oracle.png" style="width: 300px; height: 150px;" /></p>
<p><img alt="be8b84452f6c48118d594851c00d174a" 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">
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<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="24f258d327e44dd4a2f5bed5b2257a31" class="no-scaled-link" src="../../_images/deutsch.png" style="width: 500px; height: 210px;" /></p>
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<div class="math notranslate nohighlight">
\[\ket{\psi_0} = \ket{01}
\tag{1}\]</div>
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Expand Up @@ -1148,7 +1148,7 @@ <h1>Hybrid Quantum Neural Networks<a class="headerlink" href="#Hybrid-Quantum-Ne
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Expand Up @@ -997,7 +997,7 @@ <h2>Quantum Fourier Transform revisited<a class="headerlink" href="#Quantum-Four
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Expand Up @@ -914,7 +914,7 @@ <h2>Running the Simulation<a class="headerlink" href="#Running-the-Simulation" t
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Expand Up @@ -1315,7 +1315,7 @@ <h2>Choosing the circuit you need<a class="headerlink" href="#Choosing-the-circu
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Expand Up @@ -888,7 +888,7 @@ <h2>Integration with Third-Party Optimizers<a class="headerlink" href="#Integrat
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Expand Up @@ -1234,7 +1234,7 @@ <h2>Gate Fusion for Larger Circuits<a class="headerlink" href="#Gate-Fusion-for-
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Expand Up @@ -928,7 +928,7 @@ <h3>Get State Async<a class="headerlink" href="#Get-State-Async" title="Permalin
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Expand Up @@ -794,7 +794,7 @@ <h2>Midcircuit Measurement and Conditional Logic<a class="headerlink" href="#Mid
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Expand Up @@ -781,7 +781,7 @@ <h2>Pauli Words and Exponentiating Pauli Words<a class="headerlink" href="#Pauli
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Expand Up @@ -948,7 +948,7 @@ <h2>Parallel Parameter Shift Gradients<a class="headerlink" href="#Parallel-Para
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Expand Up @@ -731,9 +731,9 @@ <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="0f8b4bfb00914b9c97e99ed0afb8a1e4" src="../../_images/gate-fuse1.png" /></p>
<p><img alt="e72b545cafd1441fb6a61804958f2ea2" src="../../_images/gate-fuse1.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="825a3ea5efa94390a2638969ec2454aa" src="../../_images/gatefusion.png" /></p>
<p><img alt="18115ea09d0145d6996139738a19c609" src="../../_images/gatefusion.png" /></p>
</section>
</section>

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# ============================================================================ #
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2 changes: 1 addition & 1 deletion pr-2487/specification/cudaq/algorithmic_primitives.html
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