Showing 5 open source projects for "model-builder"

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    CUDA-Q

    CUDA-Q

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

    CUDA-Q is an open-source platform for developing hybrid quantum-classical applications using a unified programming model across CPUs, GPUs, and quantum processing units. It provides a full toolchain that includes compilers, runtimes, and libraries for writing quantum programs in both C++ and Python. 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. ...
    Downloads: 3 This Week
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  • 2
    CUDA-QX

    CUDA-QX

    Accelerated libraries for quantum-classical computing built on CUDA-Q

    CUDA-QX is a collection of accelerated libraries built on top of the CUDA-Q platform, designed to enable rapid development of hybrid quantum-classical applications. It extends the CUDA-Q programming model by providing optimized implementations of domain-specific quantum computing primitives and workflows. The libraries are intended to help researchers and developers leverage GPUs, CPUs, and quantum processing units together in a unified computational model. CUDA-QX focuses on key areas such as quantum error correction and hybrid solver algorithms, offering high-level APIs that simplify complex quantum workflows. ...
    Downloads: 1 This Week
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  • 3
    OpenQASM

    OpenQASM

    Quantum assembly language for extended quantum circuits

    OpenQASM is an imperative programming language designed for near-term quantum computing algorithms and applications. Quantum programs are described using the measurement-based quantum circuit model with support for classical feed-forward flow control based on measurement outcomes. OpenQASM presents a parameterized set of physical logic gates and concurrent real-time classical computations. Its main goal is to serve as an intermediate representation for higher-level compilers to communicate with quantum hardware. Allowances have been made for human usability. ...
    Downloads: 0 This Week
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  • 4
    TorchQuantum

    TorchQuantum

    A PyTorch-based framework for Quantum Classical Simulation

    ...Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.
    Downloads: 2 This Week
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  • 5

    AnharmoniCAOS

    Cagliari-Orsay model for anharmonic molecular spectra in 2nd order PT

    Given dynamical coefficients and/or derivatives of the ionic potential with respect to normal (harmonic) vibrational modes, compute anharmonic energies and electric dipole-permitted transitions and intensities using nearly-degenerate perturbation theory (i.e. properly accounting for Fermi and Darling-Dennison resonances).
    Downloads: 0 This Week
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