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arXiv:1905.01330physics.comp-ph

TensorNetwork: A Library for Physics and Machine Learning

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

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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.

arXiv comments
The TensorNetwork library can be found at https://github.com/google/tensornetwork
Journal reference
DOI
Subjects
physics.comp-phComputational Physics cond-mat.str-elStrongly Correlated Electrons cs.LGMachine Learning hep-thHigh Energy Physics, Theory stat.MLMachine Learning (Statistics)

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Oct 2019 to Oct 2019. Found in 1 HN submission from May 2019 to May 2019. Open submission discussions.

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  1. String Diagrams for Linear Algebra 1 comment

    • Related : Recent Paper (2019) from Google introducing TensorNetworks and the graphical notation : https://arxiv.org/abs/1905.01330 Blog post from Google : https://ai.googleblog.com/2019/06/introducing-tensornetwork-... and an official website about the diagrams…

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