Identifying a damping rate function for a non-Markovian single qubit system

Shibei Xue, Min Jiang, Dewei Li, Jun Zhang, Ian R. Petersen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    In this paper, we present a gradient algorithm to identify a damping rate function for a non-Markovian single qubit system. The dynamics of the single qubit system in a non- Markovian environment are assumed to obey a time convolutionless master equation, where all the non-Markovian effects of the environment are combined in the unknown damping rate function. To identify the damping rate function, we measure time trace observables of the qubit such that we can formulate the identification procedure as an optimization problem. Thus, we design a gradient algorithm to optimally reveal the damping rate function.

    Original languageEnglish
    Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages300-304
    Number of pages5
    ISBN (Electronic)9781538616451
    DOIs
    Publication statusPublished - 27 Nov 2017
    Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
    Duration: 5 Oct 20178 Oct 2017

    Publication series

    Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
    Volume2017-January

    Conference

    Conference2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
    Country/TerritoryCanada
    CityBanff
    Period5/10/178/10/17

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