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TensorNetwork: A Library for Physics and Machine Learning (1905.01330v1)

Published 3 May 2019 in physics.comp-ph, cond-mat.str-el, cs.LG, hep-th, and stat.ML

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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