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Conference Paper: Partial feedback control of quantum systems using probabilistic fuzzy estimator

TitlePartial feedback control of quantum systems using probabilistic fuzzy estimator
Authors
KeywordsControlled Quantum Measurement
Partial Feedback
Probabilistic Fuzzy Estimator
Quantum Feedback Control
Quantum System
Issue Date2009
Citation
Proceedings Of The Ieee Conference On Decision And Control, 2009, p. 3805-3810 How to Cite?
AbstractA partial feedback control scheme with a probabilistic fuzzy estimator (PFE) is presented for the robust control of quantum systems. In this scheme, a probabilistic fuzzy simulator is trained to estimate the quantum states for feedback control of quantum systems. Usually, the estimated state is fed back to design a controller. However, when the estimated quantum state is an almost-eigenstate, a projective measurement will be triggered for the quantum system and the measurement results will be fed back to construct the controller and regulate the fuzzy estimator. This scheme is a partial feedback strategy with controlled discontinuous measurement, where the quantum measurement serves as a control tool and is helpful for driving the quantum system to a desired state tracking even in the presence of unknown disturbances and stochastic noises. An example of a two-spin- 1/2 system is also presented to demonstrate the proposed approach. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/159010
ISSN
2020 SCImago Journal Rankings: 0.395
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Cen_US
dc.contributor.authorRigatos, GGen_US
dc.contributor.authorDong, Den_US
dc.contributor.authorLam, Jen_US
dc.date.accessioned2012-08-08T09:05:06Z-
dc.date.available2012-08-08T09:05:06Z-
dc.date.issued2009en_US
dc.identifier.citationProceedings Of The Ieee Conference On Decision And Control, 2009, p. 3805-3810en_US
dc.identifier.issn0191-2216en_US
dc.identifier.urihttp://hdl.handle.net/10722/159010-
dc.description.abstractA partial feedback control scheme with a probabilistic fuzzy estimator (PFE) is presented for the robust control of quantum systems. In this scheme, a probabilistic fuzzy simulator is trained to estimate the quantum states for feedback control of quantum systems. Usually, the estimated state is fed back to design a controller. However, when the estimated quantum state is an almost-eigenstate, a projective measurement will be triggered for the quantum system and the measurement results will be fed back to construct the controller and regulate the fuzzy estimator. This scheme is a partial feedback strategy with controlled discontinuous measurement, where the quantum measurement serves as a control tool and is helpful for driving the quantum system to a desired state tracking even in the presence of unknown disturbances and stochastic noises. An example of a two-spin- 1/2 system is also presented to demonstrate the proposed approach. ©2009 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings of the IEEE Conference on Decision and Controlen_US
dc.subjectControlled Quantum Measurementen_US
dc.subjectPartial Feedbacken_US
dc.subjectProbabilistic Fuzzy Estimatoren_US
dc.subjectQuantum Feedback Controlen_US
dc.subjectQuantum Systemen_US
dc.titlePartial feedback control of quantum systems using probabilistic fuzzy estimatoren_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, J:james.lam@hku.hken_US
dc.identifier.authorityLam, J=rp00133en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/CDC.2009.5399492en_US
dc.identifier.scopuseid_2-s2.0-77950844347en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77950844347&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage3805en_US
dc.identifier.epage3810en_US
dc.identifier.isiWOS:000336893604049-
dc.identifier.scopusauthoridChen, C=24729216100en_US
dc.identifier.scopusauthoridRigatos, GG=7003337399en_US
dc.identifier.scopusauthoridDong, D=8531030400en_US
dc.identifier.scopusauthoridLam, J=7201973414en_US
dc.identifier.issnl0191-2216-

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