Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79343
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorGao, Qen_US
dc.creatorZhang, Gen_US
dc.date.accessioned2018-11-26T09:31:00Z-
dc.date.available2018-11-26T09:31:00Z-
dc.identifier.urihttp://hdl.handle.net/10397/79343-
dc.description56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, 12-15 December 2017en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication Gao, Q., & Zhang, G. (2017, December). Quantum projection filtering for open quantum systems. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC) (pp. 5529-5534). IEEE is available at https://doi.org/10.1109/CDC.2017.8264479en_US
dc.subjectDifferentiable manifolden_US
dc.subjectOpen quantum systemsen_US
dc.subjectQuantum information geometryen_US
dc.subjectQuantum projection filteringen_US
dc.titleQuantum projection filtering for open quantum systemsen_US
dc.typeConference Paperen_US
dc.identifier.spage5529en_US
dc.identifier.epage5534en_US
dc.identifier.volume2017en_US
dc.identifier.doi10.1109/CDC.2017.8264479en_US
dcterms.abstractThis paper presents an approximation quantum projection filtering strategy, aiming to reduce the computational cost in calculating the standard quantum filter equation in time. By using a differential geometric approach, the trajectory of the resulting quantum projection filter is constrained to evolve in a finite-dimensional differentiable manifold consisting of an exponential family of quantum density operators. A convenient design of the differentiable manifold is then developed through reduction of the local approximation errors, which allows simplification of the quantum projection filter equations. Finally, simulation results from a two-level quantum system example illustrate the approximation performance of the proposed filtering scheme. The proposed approach is expected to be of practical use in developing more efficient quantum control methods.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE conference on decision and control, Proceedings, 2017, p. 5529-5534en_US
dcterms.isPartOfIEEE conference on decision and control. Proceedingsen_US
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85046117349-
dc.relation.conferenceIEEE Conference on Decision and Control [CDC]en_US
dc.description.validate201811 bcmaen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAMA-0411-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS23264856-
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