Machine classification for probe-based quantum thermometry

dc.contributor.authorLuiz, Fabrício S. [UNESP]
dc.contributor.authorJunior, A. De Oliveira
dc.contributor.authorFanchini, Felipe F. [UNESP]
dc.contributor.authorLandi, Gabriel T.
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionJagiellonian University
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2022-04-28T19:51:14Z
dc.date.available2022-04-28T19:51:14Z
dc.date.issued2022-02-01
dc.description.abstractWe consider probe-based quantum thermometry and show that machine classification can provide model-independent estimation with quantifiable error assessment. Our approach is based on the k-nearest-neighbor algorithm. The machine is trained using data from either computer simulations or a calibration experiment. This yields a predictor which can be used to estimate the temperature from new observations. The algorithm is highly flexible and works with any kind of probe observable. It also allows one to incorporate experimental errors, as well as uncertainties about experimental parameters. We illustrate our method with an impurity thermometer in a Bose gas, as well as in the estimation of the thermal phonon number in the Rabi model.en
dc.description.affiliationFaculdade de Cilncias Unesp - Universidade Estadual Paulista Bauru
dc.description.affiliationFaculty of Physics Astronomy and Applied Computer Science Jagiellonian University
dc.description.affiliationInstituto de Física da Universidade de São Paulo
dc.description.affiliationUnespFaculdade de Cilncias Unesp - Universidade Estadual Paulista Bauru
dc.identifierhttp://dx.doi.org/10.1103/PhysRevA.105.022413
dc.identifier.citationPhysical Review A, v. 105, n. 2, 2022.
dc.identifier.doi10.1103/PhysRevA.105.022413
dc.identifier.issn2469-9934
dc.identifier.issn2469-9926
dc.identifier.scopus2-s2.0-85125256184
dc.identifier.urihttp://hdl.handle.net/11449/223518
dc.language.isoeng
dc.relation.ispartofPhysical Review A
dc.sourceScopus
dc.titleMachine classification for probe-based quantum thermometryen
dc.typeArtigo

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