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arXiv:1701.04844 · Physical Review X

Quantum Entanglement in Neural Network States

Dong-Ling Deng, Xiaopeng Li, S. Das Sarma

Published May 11, 2017• 424 citations
arXivHTMLPDF

Abstract

Machine learning has recently gained attention as a possible way to understand phase transitions in many-body quantum systems. A new entanglement analysis reveals crucial properties of the data structures that encode quantum states in a neural network, opening new inroads in applying machine learning to quantum many-body physics.
DOI
10.1103/physrevx.7.021021

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