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dc.contributor.authorYoussry, A
dc.contributor.authorPaz-Silva, GA
dc.contributor.authorFerrie, C
dc.date.accessioned2021-01-06T22:09:19Z
dc.date.available2021-01-06T22:09:19Z
dc.date.issued2020
dc.identifier.issn2056-6387
dc.identifier.doi10.1038/s41534-020-00332-8
dc.identifier.urihttp://hdl.handle.net/10072/400733
dc.description.abstractThe ability to use quantum technology to achieve useful tasks, be they scientific or industry related, boils down to precise quantum control. In general it is difficult to assess a proposed solution due to the difficulties in characterizing the quantum system or device. These arise because of the impossibility to characterize certain components in situ, and are exacerbated by noise induced by the environment and active controls. Here, we present a general purpose characterization and control solution making use of a deep learning framework composed of quantum features. We provide the framework, sample datasets, trained models, and their performance metrics. In addition, we demonstrate how the trained model can be used to extract conventional indicators, such as noise power spectra.
dc.description.peerreviewedYes
dc.description.sponsorshipCth Department of Industry, Innovation and Science
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofpagefrom95
dc.relation.ispartofissue1
dc.relation.ispartofjournalnpj Quantum Information
dc.relation.ispartofvolume6
dc.subject.fieldofresearchNanotechnology
dc.subject.fieldofresearchcode4018
dc.titleCharacterization and control of open quantum systems beyond quantum noise spectroscopy
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationYoussry, A; Paz-Silva, GA; Ferrie, C, Characterization and control of open quantum systems beyond quantum noise spectroscopy, npj Quantum Information, 2020, 6 (1), pp. 95
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-01-05T23:56:59Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2020. This 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 license, and indicate if changes were made.
gro.hasfulltextFull Text
gro.griffith.authorPaz Silva, Gerardo A.


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