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Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave...

Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2407685328

Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave function, correlation ratio, and level spectroscopy

About this item

Full title

Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave function, correlation ratio, and level spectroscopy

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-07

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Pursuing fractionalized particles that do not bear properties of conventional measurable objects, exemplified by bare particles in the vacuum such as electrons and elementary excitations such as magnons, is a challenge in physics. Here we show that a machine-learning method for quantum many-body systems that has achieved state-of-the-art accuracy r...

Alternative Titles

Full title

Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave function, correlation ratio, and level spectroscopy

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2407685328

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2407685328

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2005.14142

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