TensorNetwork: A Library for Physics and Machine Learning

Chase Roberts, Ashley Milsted, Martin Ganahl, Adam Zalcman, Bruce Fontaine +4 more
5/3/2019
physics.comp-phcond-mat.str-elcs.LG

Official code: google/TensorNetwork (1,871 stars, Apache-2.0, last commit 2023-09-04).

Abstract

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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Code Implementations(1)

google/TensorNetworkOfficial100%
Apache-2.0

A library for easy and efficient manipulation of tensor networks.

1,871362Python, DockerfileApr 25, 20193 years agoApache-2.0
matrix-product-statestensor-networks

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Cite this paper

@article{roberts2019tensornetwork,
  title  = {TensorNetwork: A Library for Physics and Machine Learning},
  author = {Chase Roberts and Ashley Milsted and Martin Ganahl and Adam Zalcman and Bruce Fontaine and Yijian Zou and Jack Hidary and Guifre Vidal and Stefan Leichenauer},
  year   = {2019},
  eprint = {1905.01330},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1905.01330}
}

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