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Tomography of quantum detectors using neural networks

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dc.contributor.authorMa, Hailanen
dc.contributor.authorXiao, Shuixinen
dc.contributor.authorDong, Daoyien
dc.contributor.authorPetersen, Ian R.en
dc.date.accessioned2026-07-03T21:41:09Z
dc.date.available2026-07-03T21:41:09Z
dc.date.issued2023-07-01en
dc.description.abstractQuantum detector tomography is a fundamental technique for calibrating quantum devices and thus lay foundations for quantum information processing tasks. In this work, we propose a quantum detector tomography method that employs deep neural networks to reconstruct quantum detectors from a set of probe states with high efficiency. Numerical results demonstrate that the proposed method exhibits a significant potential to estimate phase-insensitive detectors.en
dc.description.sponsorshipThis work was supported by the Australian Research Council's Future Fellowship funding scheme under Project FT220100656, and U.S. Office of Naval Research Global under Grant N62909-19-1-2129. Hailan Ma would like to thank Yuanlong Wang for helpful discussions.en
dc.description.statusPeer-revieweden
dc.format.extent6en
dc.identifier.isbn9781713872344en
dc.identifier.otherORCID:/0000-0002-7425-3559/work/219177091en
dc.identifier.otherORCID:/0000-0003-4856-9450/work/219177599en
dc.identifier.scopus85184823492en
dc.identifier.urihttps://hdl.handle.net/1885/733812329
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.relation.ispartofIFAC-PapersOnLineen
dc.relation.ispartofseries22nd IFAC World Congressen
dc.relation.ispartofseriesIFAC-PapersOnLineen
dc.relation.isversionof2en
dc.rightsPublisher Copyright: Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)en
dc.subjectestimationen
dc.subjectneural networksen
dc.subjectquantum detector tomographyen
dc.titleTomography of quantum detectors using neural networksen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage5880en
local.bibliographicCitation.startpage5875en
local.contributor.affiliationMa, Hailan; University of New South Walesen
local.contributor.affiliationXiao, Shuixin; University of New South Walesen
local.contributor.affiliationDong, Daoyi; University of New South Walesen
local.contributor.affiliationPetersen, Ian R.; School of Engineering, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationa383154xPUB47113en
local.identifier.doi10.1016/j.ifacol.2023.10.088en
local.identifier.essn2405-8963en
local.identifier.pured90a731d-d692-4cc2-bc34-f7168f8a6d5den
local.identifier.urlhttps://www.scopus.com/pages/publications/85184823492en
local.type.statusPublisheden

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