Papers › TensorNetwork: A Library for Physics and Machine Learning

TensorNetwork: A Library for Physics and Machine Learning

3 May 2019arXiv:1905.01330archive 2025-07-28

Chase Roberts, Ashley Milsted, Martin Ganahl, Adam Zalcman, Bruce Fontaine, Yijian Zou, Jack Hidary, Guifre Vidal, Stefan Leichenauer

TensorNetwork is an open source library for implementing tensor network algorithms. Tensor networks are sparse data structures originally designed for simulating quantum many-body physics, but are currently also applied in a number of other research areas, including machine learning. We demonstrate the use of the API with applications both physics and machine learning, with details appearing in companion papers.

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google/TensorNetwork officialmentioned in papermentioned on GitHubjaxApache-2.0 report
jemisjoky/torchmps mentioned on GitHubpytorchMIT report

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