cuTensorNet - a component of NVIDIA cuQuantum SDK

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  • License: NVIDIA Proprietary Software
  • Author: NVIDIA Corporation
  • Tags cuda, nvidia, tensor network, high-performance computing, quantum computing
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Project description

NVIDIA cuTensorNet is a high-performance library for tensor network computations. cuTensorNet is a component of the NVIDIA cuQuantum SDK.

In addition to C APIs, cuTensorNet can also be accessed in Python via cuQuantum Python.

Documentation

Please refer to https://docs.nvidia.com/cuda/cuquantum/latest/cutensornet/index.html for the cuTensorNet documentation.

Installation

The cuTensorNet wheel can be installed as follows:

pip install cutensornet-cuXX

where XX is the CUDA major version (currently CUDA 11 & 12 are supported).

Citing cuQuantum

    1. Bayraktar et al., “cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science,” 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 1050-1061, doi: 10.1109/QCE57702.2023.00119.

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Avatar for dlowell from gravatar.com dlowell Avatar for JeremyWangNVDA from gravatar.com JeremyWangNVDA Avatar for leofang from gravatar.com leofang Avatar for mtjrider from gravatar.com mtjrider

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These details have not been verified by PyPI
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  • License: NVIDIA Proprietary Software
  • Author: NVIDIA Corporation
  • Tags cuda, nvidia, tensor network, high-performance computing, quantum computing
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