Identification of Non-Markovian Environments for Spin Chains

Shibei Xue*, Jun Zhang, Ian R. Petersen

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)

    Abstract

    Correlations of an environment are crucial for the dynamics of non-Markovian quantum systems, which may not be known in advance. In this brief, we propose a gradient algorithm for identifying the correlations in terms of the time-varying damping rate functions in a time-convolution-less master equation for spin chains. By measuring time trace observables of the system, the identification procedure can be formulated as an optimization problem. The gradient algorithm is designed based on a calculation of the derivative of an objective function with respect to the damping rate functions, whose effectiveness is shown in a comparison with a differential approach for a two-qubit spin chain.

    Original languageEnglish
    Article number8537939
    Pages (from-to)2574-2580
    Number of pages7
    JournalIEEE Transactions on Control Systems Technology
    Volume27
    Issue number6
    DOIs
    Publication statusPublished - Nov 2019

    Fingerprint

    Dive into the research topics of 'Identification of Non-Markovian Environments for Spin Chains'. Together they form a unique fingerprint.

    Cite this