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 function, correlation ratio, and level spectroscopy
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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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...
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Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave function, correlation ratio, and level spectroscopy
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TN_cdi_proquest_journals_2407685328
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2407685328
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2005.14142