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Speeding up quantum perceptron via shortcuts to adiabaticity

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dc.affiliation.dptoUC3M. Departamento de FĂ­sicaes
dc.affiliation.grupoinvUC3M. Grupo de InvestigaciĂłn: Materiales Nano-Estructurados y Multifuncionaleses
dc.contributor.authorBan, Yue
dc.contributor.authorChen, Xi
dc.contributor.authorTorrontegui Muñoz, Erik
dc.contributor.authorSolano, Enrique
dc.contributor.authorCasanova, Jorge
dc.contributor.funderComunidad de Madrides
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es
dc.date.accessioned2021-04-05T16:27:47Z
dc.date.available2021-04-05T16:27:47Z
dc.date.issued2020-03-11
dc.description.abstractThe quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as state superposition and entanglement, to classical machine learning schemes. Motivated by the techniques of shortcuts to adiabaticity, we propose a speed-up quantum perceptron where a control field on the perceptron is inversely engineered leading to a rapid nonlinear response with a sigmoid activation function. This results in faster overall perceptron performance compared to quasi-adiabatic protocols, as well as in enhanced robustness against imperfections in the controls.en
dc.description.sponsorshipWe acknowledge financial support from Spanish Government via PGC2018-095113-B-I00 (MCIU/AEI/FEDER, UE), Basque Government via IT986-16, as well as from QMiCS (820505) and OpenSuperQ (820363) of the EU Flagship on Quantum Technologies, and the EU FET Open Grant Quromorphic. J. C. acknowledges support from the UPV/EHU grant EHUrOPE. X. C. acknowledges NSFC (11474193), SMSTC (18010500400 and 18ZR1415500), the Program for Eastern Scholar and the RamĂłn y Cajal program of the Spanish MINECO (RYC-2017-22482). E.T. acknowledges support from Project PGC2018-094792-B-I00 (MCIU/AEI/FEDER,UE), CSIC Research Platform PTI-001, and CAM/FEDER Project No. S2018/TCS-4342 (QUITEMAD-CM).en
dc.format.extent8es
dc.identifier.bibliographicCitationScientific reports, 11, article number 5783, March 2021, 8 pp.en
dc.identifier.doihttps://doi.org/10.1038/s41598-021-85208-3
dc.identifier.issn2045-2322
dc.identifier.publicationfirstpage1es
dc.identifier.publicationissue5783es
dc.identifier.publicationlastpage8es
dc.identifier.publicationtitleScientific Reportsen
dc.identifier.publicationvolume11es
dc.identifier.urihttps://hdl.handle.net/10016/32264
dc.identifier.uxxiAR/0000026546
dc.language.isoengen
dc.publisherNature Portfolioen
dc.relation.ispartofhttps://doi.org/10.1038/s41598-021-85208-3
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/820505/QMiCSes
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/820363/OpenSuperQen
dc.relation.projectIDGobierno de España. PGC2018-095113-B-I00es
dc.relation.projectIDGobierno de España. RYC-2017-22482es
dc.relation.projectIDComunidad de Madrid. S2018/TCS-4342es
dc.relation.projectIDComunidad de Madrid. S2018/TCS-4342/QUITEMADes
dc.rights© The Author(s) 2021en
dc.rightsTis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaFĂ­sicaes
dc.subject.otherSpeed limiten
dc.subject.otherQubitses
dc.subject.otherQuantum controlen
dc.subject.otherAdiabaticityen
dc.subject.otherPerceptronen
dc.titleSpeeding up quantum perceptron via shortcuts to adiabaticityen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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