Showing 3 open source projects for "physical"

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    Train ML Models With SQL You Already Know

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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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    CUDA-Q

    CUDA-Q

    C++ and Python support for the CUDA Quantum programming model

    ...The platform is designed to be hardware-agnostic, allowing developers to run applications on different quantum backends or simulate them efficiently using GPU acceleration when physical quantum hardware is unavailable. It enables complex workflows where classical and quantum computations are tightly integrated, supporting advanced research and real-world applications in quantum computing. The repository includes components such as the nvq++ compiler and runtime systems that manage execution across heterogeneous environments.
    Downloads: 1 This Week
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  • 2
    Quantum++

    Quantum++

    Modern C++ quantum computing library

    ...The main design factors taken in consideration were ease of use, high portability, and high performance. The library's simulation capabilities are only restricted by the amount of available physical memory. On a typical machine (Intel i5 8Gb RAM) Quantum++ can successfully simulate the evolution of 25 qubits in a pure state or of 12 qubits in a mixed state reasonably fast.
    Downloads: 1 This Week
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  • 3
    staq

    staq

    Full-stack quantum processing toolkit

    staq is a modern C++ library for the synthesis, transformation, optimization and compilation of quantum circuits. staq is written in standard C++17 and has very low external dependencies. It is usable either through the provided binary tools, or as a header-only library that can be included to provide direct support for parsing & manipulating circuits written in the OpenQASM circuit description language. Inspired by Clang, staq is designed to manipulate OpenQASM syntax trees directly, rather...
    Downloads: 0 This Week
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