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Author Daoyi Dong ♦ Chunlin Chen ♦ Ruixing Long ♦ Bo Qi ♦ Petersen, I.R.
Sponsorship IEEE Control Syst. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Testing ♦ quantum robust control ♦ Quantum control ♦ sampling-based learning control (SLC) ♦ Hamiltonian uncertainties
Abstract Robust control design for quantum systems has been recognized as a key task in the development of practical quantum technology. In this paper, we present a systematic numerical methodology of sampling-based learning control (SLC) for control design of quantum systems with Hamiltonian uncertainties. The SLC method includes two steps of “training” and “testing and evaluation”. In the training step, an augmented system is constructed by sampling uncertainties according to possible distributions of uncertainty parameters. A gradient flow based learning and optimization algorithm is adopted to find the control for the augmented system. In the process of testing and evaluation, a number of samples obtained through sampling the uncertainties are tested to evaluate the control performance. Numerical results demonstrate the success of the SLC approach. The SLC method has potential applications for robust control design of quantum systems.
Description Author affiliation: Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales at the Australian Defence Force Acad., Canberra, ACT, Australia (Daoyi Dong; Petersen, I.R.) || Dept. of Chem., Princeton Univ., Princeton, NJ, USA (Ruixing Long) || Key Lab. of Syst. & Control, Acad. of Math. & Syst. Sci., Beijing, China (Bo Qi) || Dept. of Control & Syst. Eng., Nanjing Univ., Nanjing, China (Chunlin Chen)
ISBN 9781467357142
ISSN 07431546
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-12-10
Publisher Place Italy
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467357173
Size (in Bytes) 1.23 MB
Page Count 6
Starting Page 1924
Ending Page 1929


Source: IEEE Xplore Digital Library