Tensor-network approach for quantum metrology in many-body quantum systems

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dc.identifier.uri http://dx.doi.org/10.15488/10595
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/10672
dc.contributor.author Chabuda, Krzysztof
dc.contributor.author Dziarmaga, Jacek
dc.contributor.author Osborne, Tobias J.
dc.contributor.author Demkowicz-Dobrzański, Rafał
dc.date.accessioned 2021-03-23T09:46:14Z
dc.date.available 2021-03-23T09:46:14Z
dc.date.issued 2020
dc.identifier.citation Chabuda, K.; Dziarmaga, J.; Osborne, T.J.; Demkowicz-Dobrzański, R.: Tensor-network approach for quantum metrology in many-body quantum systems. In: Nature Communications 11 (2020), Nr. 1, 250. DOI: https://doi.org/10.1038/s41467-019-13735-9
dc.description.abstract Identification of the optimal quantum metrological protocols in realistic many particle quantum models is in general a challenge that cannot be efficiently addressed by the state-of-the-art numerical and analytical methods. Here we provide a comprehensive framework exploiting matrix product operators (MPO) type tensor networks for quantum metrological problems. The maximal achievable estimation precision as well as the optimal probe states in previously inaccessible regimes can be identified including models with short-range noise correlations. Moreover, the application of infinite MPO (iMPO) techniques allows for a direct and efficient determination of the asymptotic precision in the limit of infinite particle numbers. We illustrate the potential of our framework in terms of an atomic clock stabilization (temporal noise correlation) example as well as magnetic field sensing (spatial noise correlations). As a byproduct, the developed methods may be used to calculate the fidelity susceptibility—a parameter widely used to study phase transitions. © 2020, The Author(s). eng
dc.language.iso eng
dc.publisher London : Nature Publishing Group
dc.relation.ispartofseries Nature Communications 11 (2020), Nr. 1
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject identification method eng
dc.subject magnetic field eng
dc.subject network analysis eng
dc.subject numerical method eng
dc.subject quantum mechanics eng
dc.subject article eng
dc.subject human eng
dc.subject magnetic field eng
dc.subject noise eng
dc.subject phase transition eng
dc.subject.ddc 500 | Naturwissenschaften ger
dc.title Tensor-network approach for quantum metrology in many-body quantum systems
dc.type Article
dc.type Text
dc.relation.essn 2041-1723
dc.relation.doi https://doi.org/10.1038/s41467-019-13735-9
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume 11
dc.bibliographicCitation.firstPage 250
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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