Publication:
Restricted Boltzmann machine based on a Fermi sea

dc.contributor.authorLyakhova, Y. S.
dc.contributor.authorPolyakov, E. A.
dc.contributor.authorRubtsov, A. N.
dc.contributor.authorЛяхова, Яна Сергеевна
dc.date.accessioned2024-11-29T23:05:08Z
dc.date.available2024-11-29T23:05:08Z
dc.date.issued2021
dc.description.abstractIn recent years, there has been an intensive research on how to exploit the quantum laws of nature in the machine learning. Models have been put forward which employ spins, photons, and cold atoms. In this work we study the possibility of using the lattice fermions to learn the classical data. We propose an alternative to the quantum Boltzmann machine, the so-called spin-fermion machine (SFM), in which the spins represent the degrees of freedom of the observable data (to be learned), and the fermions represent the correlations between the data. The coupling is linear in spins and quadratic in fermions. The fermions are allowed to tunnel between the lattice sites. The training of SFM can be efficiently implemented since there are closed expressions for the log-likelihood gradient. We find that SFM is more powerful than the classical restricted Boltzmann machine with the same number of physical degrees of freedom. The reason is that SFM has additional freedom due to the rotation of the Fermi sea. We show examples for several data sets.
dc.identifier.citationRestricted Boltzmann machine based on a Fermi sea / Lyakhova, YS, Polyakov, EA, Rubtsov, AN // Journal of Physics A: Mathematical and Theoretical. - 2021. - 54. - № 48. - 10.1088/1751-8121/ac331d
dc.identifier.doi10.1088/1751-8121/ac331d
dc.identifier.urihttps://www.doi.org/10.1088/1751-8121/ac331d
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85119935991&origin=resultslist
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dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/24959
dc.relation.ispartofJournal of Physics A: Mathematical and Theoretical
dc.titleRestricted Boltzmann machine based on a Fermi sea
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue48
oaire.citation.volume54
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