Decoherence in adiabatic quantum evolution: application to Cooper pair pumping

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Pekola, Jukka Brosco, V. Möttönen, Mikko Solinas, Paolo Shnirman, A. 2018-05-22T14:37:01Z 2018-05-22T14:37:01Z 2010-07-12
dc.identifier.citation Pekola , J , Brosco , V , Möttönen , M , Solinas , P & Shnirman , A 2010 , ' Decoherence in adiabatic quantum evolution: application to Cooper pair pumping ' PHYSICAL REVIEW LETTERS , vol 105 , no. 3 , 030401 , pp. 1-4 . DOI: 10.1103/PhysRevLett.105.030401 en
dc.identifier.issn 0031-9007
dc.identifier.issn 1079-7114
dc.identifier.other PURE UUID: 5bc4218f-a622-429e-b260-c702170b1ff9
dc.identifier.other PURE ITEMURL:
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dc.description.abstract One of the challenges of adiabatic control theory is the proper inclusion of the effects of dissipation. Here we study the adiabatic dynamics of an open two-level quantum system deriving a generalized master equation to consistently account for the combined action of the driving and dissipation. We demonstrate that in the zero-temperature limit the ground state dynamics is not affected by environment. As an example, we apply our theory to Cooper pair pumping, which demonstrates the robustness of ground state adiabatic evolution. en
dc.format.extent 4
dc.format.extent 1-4
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries PHYSICAL REVIEW LETTERS en
dc.relation.ispartofseries Volume 105, issue 3 en
dc.rights openAccess en
dc.subject.other 114 Physical sciences en
dc.subject.other 3112 Neurosciences en
dc.subject.other 221 Nanotechnology en
dc.subject.other 113 Computer and information sciences en
dc.subject.other 217 Medical engineering en
dc.subject.other 214 Mechanical engineering en
dc.title Decoherence in adiabatic quantum evolution: application to Cooper pair pumping en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Applied Physics
dc.subject.keyword 114 Physical sciences
dc.subject.keyword 3112 Neurosciences
dc.subject.keyword 221 Nanotechnology
dc.subject.keyword 113 Computer and information sciences
dc.subject.keyword 217 Medical engineering
dc.subject.keyword 214 Mechanical engineering
dc.identifier.urn URN:NBN:fi:aalto-201805222367
dc.identifier.doi 10.1103/PhysRevLett.105.030401
dc.type.version publishedVersion

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