TY - GEN
T1 - Identifying a damping rate function for a non-Markovian single qubit system
AU - Xue, Shibei
AU - Jiang, Min
AU - Li, Dewei
AU - Zhang, Jun
AU - Petersen, Ian R.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/27
Y1 - 2017/11/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85044174389&partnerID=8YFLogxK
U2 - 10.1109/SMC.2017.8122619
DO - 10.1109/SMC.2017.8122619
M3 - Conference contribution
T3 - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
SP - 300
EP - 304
BT - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Y2 - 5 October 2017 through 8 October 2017
ER -