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Quantum gate identification: Error analysis, numerical results and optical experiment

dc.contributor.authorWang, Yuanlong
dc.contributor.authorYin, Qi
dc.contributor.authorDong, Daoyi
dc.contributor.authorQi, Bo
dc.contributor.authorPetersen, Ian
dc.contributor.authorHou, Zhibo
dc.contributor.authorYonezawa, Hidehiro
dc.contributor.authorXiang, Guoyong
dc.date.accessioned2020-04-01T01:41:48Z
dc.date.issued2019-03
dc.date.updated2019-11-25T07:46:28Z
dc.description.abstractThe identification of an unknown quantum gate is a significant issue in quantum technology. In this paper, we propose a quantum gate identification method within the framework of quantum process tomography. In this method, a series of pure states are applied to the gate and then a fast state tomography on the output states is performed and the data are used to reconstruct the quantum gate. The algorithm has computational complexity with the system dimension . The identification approach is compared with the maximum likelihood estimation method for the running time, which shows an efficiency advantage of our method. An error upper bound is established for the identification algorithm and the robustness of the algorithm against impurities in the input states is also tested. We perform a quantum optical experiment on a single-qubit Hadamard gate to verify the effectiveness of the identification algorithm.en_AU
dc.description.sponsorshipThis work was supported by the Australian Research Council’s Discovery Projects funding scheme under Project DP190101566, Laureate Fellowship FL110100020, AFOSR under grant FA2386-16-1-4065, Centres of Excellence CE110001027, the National Natural Science Foundation of China (Nos. 61773370, 61828303, 61833010, 11574291, 11774334, 11688101).en_AU
dc.format.extent11 pagesen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0005-1098en_AU
dc.identifier.urihttp://hdl.handle.net/1885/202601
dc.language.isoen_AUen_AU
dc.publisherPergamon-Elsevier Ltden_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP190101566en_AU
dc.relationhttp://purl.org/au-research/grants/arc/FL110100020en_AU
dc.relationhttp://purl.org/au-research/grants/arc/CE110001027en_AU
dc.rights© 2018 Elsevier Ltd.en_AU
dc.sourceAutomaticaen_AU
dc.subjectQuantum system, Quantum tomography, Quantum gate identification, Computational complexityen_AU
dc.titleQuantum gate identification: Error analysis, numerical results and optical experimenten_AU
dc.typeJournal articleen_AU
dcterms.dateAccepted2018-11-26
local.bibliographicCitation.lastpage279en_AU
local.bibliographicCitation.startpage269en_AU
local.contributor.affiliationWang, Yuanlong, University of New South Walesen_AU
local.contributor.affiliationYin, Qi, University of Science and Technology of Chinaen_AU
local.contributor.affiliationDong, Daoyi, University of New South Walesen_AU
local.contributor.affiliationQi, Bo, Chinese Academy of Sciencesen_AU
local.contributor.affiliationPetersen, Ian, College of Engineering and Computer Science, The Australian National Universityen_AU
local.contributor.affiliationHou, Zhibo, University of Science and Technology of Chinaen_AU
local.contributor.affiliationYonezawa, Hidehiro, The University of New South Walesen_AU
local.contributor.affiliationXiang, Guoyong, University of Science and Technology of Chinaen_AU
local.contributor.authoruidPetersen, Ian, u4036493en_AU
local.description.embargo2037-12-31
local.description.notesImported from ARIES. AAM requested but author unable to supply (JS 1/4/2020)en_AU
local.identifier.absfor090602 - Control Systems, Robotics and Automationen_AU
local.identifier.absseo970109 - Expanding Knowledge in Engineeringen_AU
local.identifier.ariespublicationu3102795xPUB911en_AU
local.identifier.citationvolume101en_AU
local.identifier.doi10.1016/j.automatica.2018.12.011en_AU
local.identifier.scopusID2-s2.0-85059329959
local.publisher.urlhttps://www.elsevier.com/en_AU
local.type.statusPublished Versionen_AU

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