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dc.contributor.authorOhtsuki, Yukiyoshi
dc.contributor.authorTeranishi, Yoshiaki
dc.contributor.authorSaalfrank, Peter
dc.contributor.authorTurinici, Gabriel
HAL ID: 16
ORCID: 0000-0003-2713-006X
dc.contributor.authorRabitz, Herschel
dc.date.accessioned2014-06-02T08:31:03Z
dc.date.available2014-06-02T08:31:03Z
dc.date.issued2007
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/13399
dc.language.isoenen
dc.subjectmonotonically convergent algorithmsen
dc.subject.ddc518en
dc.titleMonotonically convergent algorithms for solving quantum optimal control problems described by an integrodifferential equation of motionen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenA family of monotonically convergent algorithms is presented for solving a wide class of quantum optimal control problems satisfying an inhomogeneous integrodifferential equation of motion. The convergence behavior is examined using a four-level model system under the influence of non-Markovian relaxation. The results show that high quality solutions can be obtained over a wide range of parameters that characterize the algorithms, independent of the presence or absence of relaxation.en
dc.relation.isversionofjnlnamePhysical Review. A, Atomic, Molecular and Optical Physics
dc.relation.isversionofjnlvol75en
dc.relation.isversionofjnlissue3en
dc.relation.isversionofjnldate2007
dc.relation.isversionofjnlpages033407en
dc.relation.isversionofdoihttp://dx.doi.org/10.1103/PhysRevA.75.033407en
dc.relation.isversionofjnlpublisherAPSen
dc.subject.ddclabelModèles mathématiques. Algorithmesen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen


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