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Estimation of Quantum Channels Using Neural Networks

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dc.contributor.authorMa, Hailanen
dc.contributor.authorSun, Zhenhongen
dc.contributor.authorXiao, Shuixinen
dc.contributor.authorDong, Daoyien
dc.contributor.authorPetersen, Ian R.en
dc.date.accessioned2026-07-03T21:41:32Z
dc.date.available2026-07-03T21:41:32Z
dc.date.issued2023en
dc.description.abstractQuantum process tomography is an essential task for characterizing the dynamics of quantum systems and achieving precise quantum control. In this work, we propose a machine learning-based quantum process tomography method to reconstruct the Choi matrices of quantum channels from the measurements of the output states. Numerical results demonstrate that the proposed method exhibits a significant potential to achieve accurate reconstruction of different quantum channels.en
dc.description.statusPeer-revieweden
dc.format.extent6en
dc.identifier.isbn9798350301243en
dc.identifier.issn0743-1546en
dc.identifier.otherORCID:/0000-0002-7425-3559/work/219177089en
dc.identifier.otherORCID:/0000-0003-4856-9450/work/219177635en
dc.identifier.scopus85184832729en
dc.identifier.urihttps://hdl.handle.net/1885/733812346
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.relation.ispartof2023 62nd IEEE Conference on Decision and Control, CDC 2023en
dc.relation.ispartofseries62nd IEEE Conference on Decision and Control, CDC 2023en
dc.relation.ispartofseriesProceedings of the IEEE Conference on Decision and Controlen
dc.rightsPublisher Copyright: © 2023 IEEE.en
dc.titleEstimation of Quantum Channels Using Neural Networksen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage1200en
local.bibliographicCitation.startpage1195en
local.contributor.affiliationMa, Hailan; University of New South Walesen
local.contributor.affiliationSun, Zhenhong; University of New South Walesen
local.contributor.affiliationXiao, Shuixin; Australian National Universityen
local.contributor.affiliationDong, Daoyi; School of Engineering, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationPetersen, Ian R.; School of Engineering, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationa383154xPUB47114en
local.identifier.doi10.1109/CDC49753.2023.10384297en
local.identifier.essn2576-2370en
local.identifier.pured36c579f-47c1-4f11-bfee-632aef214f5aen
local.identifier.urlhttps://www.scopus.com/pages/publications/85184832729en
local.type.statusPublisheden

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