Showing 3 open source projects for "gpu processing"

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  • 1
    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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  • 2

    PDP-OmniSim

    PDP-OmniSim simulating parallel and distributed processing systems

    PDP-OmniSim ๐Ÿงฌ Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for large-scale simulations of networked systems and their emergent behaviors. ๐ŸŽฏ Key Scientific Contributions ๐Ÿ”ฌ Interdisciplinary Research Domains Computational...
    Downloads: 1 This Week
    Last Update:
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  • 3
    Paddle Quantum

    Paddle Quantum

    Paddle Quantum

    Paddle Quantum (้‡ๆกจ) is the world's first cloud-integrated quantum machine learning platform based on Baidu PaddlePaddle. It supports the building and training of quantum neural networks, making PaddlePaddle the first deep-learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away. Paddle Quantum aims at establishing a bridge between artificial intelligence (AI) and quantum computing...
    Downloads: 0 This Week
    Last Update:
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