TensorNetwork: A Library for Physics and Machine Learning
Computational Physics
2019-05-07 v1 Strongly Correlated Electrons
Machine Learning
High Energy Physics - Theory
Machine Learning
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.
Cite
@article{arxiv.1905.01330,
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},
journal= {arXiv preprint arXiv:1905.01330},
year = {2019}
}
Comments
The TensorNetwork library can be found at https://github.com/google/tensornetwork