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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_39fa743f78674be2a91326e970938e4f

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

About this item

Full title

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

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2018-12, Vol.9 (1), p.5322-11, Article 5322

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Obtaining accurate properties of many-body interacting quantum matter is a long-standing challenge in theoretical physics and chemistry, rooting into the complexity of the many-body wave-function. Classical representations of many-body states constitute a key tool for both analytical and numerical approaches to interacting quantum problems. Here, w...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_39fa743f78674be2a91326e970938e4f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_39fa743f78674be2a91326e970938e4f

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-018-07520-3

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