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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

H. 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

Metadata

Release files for cutensornet-cu11 2.8.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for cutensornet-cu11 2.8.0
File Interpreter ABI Platform
cutensornet_cu11-2.8.0-py3-none-manylinux2014_x86_64.whl Python 3 none Linux glibc 2.17+ x86-64 Details
cutensornet_cu11-2.8.0-py3-none-manylinux2014_aarch64.whl Python 3 none Linux glibc 2.17+ ARM64 Details

Total release size: 5.0 MB

Release files / cutensornet_cu11-2.8.0-py3-none-manylinux2014_x86_64.whl

Download URL cutensornet_cu11-2.8.0-py3-none-manylinux2014_x86_64.whl
Size 2.6 MB
Tags Linux glibc 2.17+ x86-64 Python 3
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Release files / cutensornet_cu11-2.8.0-py3-none-manylinux2014_aarch64.whl

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