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- <p class='location'>Crate qcgpu</p><div class="sidebar-elems"><div class="block items"><ul><li><a href="#reexports">Re-exports</a></li><li><a href="#modules">Modules</a></li><li><a href="#structs">Structs</a></li><li><a href="#functions">Functions</a></li></ul></div><p class='location'></p><script>window.sidebarCurrent = {name: 'qcgpu', ty: 'mod', relpath: '../'};</script></div>
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- <h1 class='fqn'><span class='in-band'>Crate <a class="mod" href=''>qcgpu</a></span><span class='out-of-band'><span id='render-detail'>
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- <div class='docblock'><p>An Open Source, High Performance & Hardware Accelerated, Quantum Computer Simulator in Rust</p>
- <p>This crate is a library with the aim to provide fast and effecient simulation of algorithms
- for quantum computers, while also being easy to use and abstracting away the management of the
- OpenCL Devices</p>
- <p>The best place to start with this library is with the <a href="https://qcgpu.github.io/qcgpu/book">user guide</a>,
- along with the docs (you're looking at them) and the <a href="https://github.com/QCGPU/QCGPU-rust">source code</a></p>
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- <li>Simulation of arbitrary quantum algorithms</li>
- <li>Optional simulation of decoherence</li>
- <li>Optimized for maximally entangled states</li>
- <li>Accelerated with GPUs, FPGAs and other OpenCL devices</li>
- <li>Example implementations of Grover, Deutsch-Jozsa, Bernstein-Vazirani and Shors algorithm</li>
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- <table><tr><td><code>pub use gates::<a class="struct" href="../qcgpu/gates/struct.Gate.html" title="struct qcgpu::gates::Gate">Gate</a>;</code></td></tr></table><h2 id='modules' class='section-header'><a href="#modules">Modules</a></h2>
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- <td><a class="fn" href="fn.gcd.html"
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- <p>Get the number of qubits needed to represent a number.</p>
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