Constructing exact representations of quantum many-body systems with deep neural networks

Significant improvements in numerical methods for quantum systems often come from finding new ways of representing quantum states that can be optimized and simulated more efficiently. Here the authors demonstrate a method to calculate exact neural network representations of many-body ground states.

Bibliographic Details
Main Authors:	Giuseppe Carleo, Yusuke Nomura, Masatoshi Imada
Format:	Article
Language:	English
Published:	Nature Publishing Group 2018-12-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-018-07520-3

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spelling	doaj-39fa743f78674be2a91326e970938e4f2021-05-11T10:05:26ZengNature Publishing GroupNature Communications2041-17232018-12-019111110.1038/s41467-018-07520-3Constructing exact representations of quantum many-body systems with deep neural networksGiuseppe Carleo0Yusuke Nomura1Masatoshi Imada2Center for Computational Quantum Physics, Flatiron InstituteDepartment of Applied Physics, The University of TokyoDepartment of Applied Physics, The University of TokyoSignificant improvements in numerical methods for quantum systems often come from finding new ways of representing quantum states that can be optimized and simulated more efficiently. Here the authors demonstrate a method to calculate exact neural network representations of many-body ground states.https://doi.org/10.1038/s41467-018-07520-3
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Giuseppe Carleo Yusuke Nomura Masatoshi Imada
spellingShingle	Giuseppe Carleo Yusuke Nomura Masatoshi Imada Constructing exact representations of quantum many-body systems with deep neural networks Nature Communications
author_facet	Giuseppe Carleo Yusuke Nomura Masatoshi Imada
author_sort	Giuseppe Carleo
title	Constructing exact representations of quantum many-body systems with deep neural networks
title_short	Constructing exact representations of quantum many-body systems with deep neural networks
title_full	Constructing exact representations of quantum many-body systems with deep neural networks
title_fullStr	Constructing exact representations of quantum many-body systems with deep neural networks
title_full_unstemmed	Constructing exact representations of quantum many-body systems with deep neural networks
title_sort	constructing exact representations of quantum many-body systems with deep neural networks
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2018-12-01
description	Significant improvements in numerical methods for quantum systems often come from finding new ways of representing quantum states that can be optimized and simulated more efficiently. Here the authors demonstrate a method to calculate exact neural network representations of many-body ground states.
url	https://doi.org/10.1038/s41467-018-07520-3
work_keys_str_mv	AT giuseppecarleo constructingexactrepresentationsofquantummanybodysystemswithdeepneuralnetworks AT yusukenomura constructingexactrepresentationsofquantummanybodysystemswithdeepneuralnetworks AT masatoshiimada constructingexactrepresentationsofquantummanybodysystemswithdeepneuralnetworks
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Constructing exact representations of quantum many-body systems with deep neural networks

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