Robust Learning Control Design for Quantum Unitary Transformations

doi:10.1109/TCYB.2016.2610979

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	Robust Learning Control Design for Quantum Unitary Transformations
	Wu, Chengzhi 1; Qi, Bo2 ; Chen, Chunlin 1,3; Dong, Daoyi 4
	2017-12-01
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
卷号	47 期号:12 页码:4405-4417
摘要	Robust control design for quantum unitary transformations has been recognized as a fundamental and challenging task in the development of quantum information processing due to unavoidable decoherence or operational errors in the experimental implementation of quantum operations. In this paper, we extend the systematic methodology of sampling-based learning control (SLC) approach with a gradient flow algorithm for the design of robust quantum unitary transformations. The SLC approach first uses a "training" process to find an optimal control strategy robust against certain ranges of uncertainties. Then a number of randomly selected samples are tested and the performance is evaluated according to their average fidelity. The approach is applied to three typical examples of robust quantum transformation problems including robust quantum transformations in a three-level quantum system, in a superconducting quantum circuit, and in a spin chain system. Numerical results demonstrate the effectiveness of the SLC approach and show its potential applications in various implementation of quantum unitary transformations.
关键词	Quantum learning control quantum unitary transformation robustness sampling-based learning control (SLC)
DOI	10.1109/TCYB.2016.2610979
语种	英语
资助项目	National Natural Science Foundation of China[61273327] ; National Natural Science Foundation of China[61374092] ; National Natural Science Foundation of China[61432008] ; Australian Research Council[DP130101658]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000415727200032
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/26915
专题	系统科学研究所
通讯作者	Chen, Chunlin
作者单位	1.Nanjing Univ, Sch Management & Engn, Dept Control & Syst Engn, Nanjing 210093, Jiangsu, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 3.Nanjing Univ, Res Ctr Novel Technol Intelligent Equipments, Nanjing 210093, Jiangsu, Peoples R China 4.Univ New South Wales, Sch Engn & Informat Technol, Canberra, ACT 2600, Australia
推荐引用方式 GB/T 7714	Wu, Chengzhi,Qi, Bo,Chen, Chunlin,et al. Robust Learning Control Design for Quantum Unitary Transformations[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(12):4405-4417.
APA	Wu, Chengzhi,Qi, Bo,Chen, Chunlin,&Dong, Daoyi.(2017).Robust Learning Control Design for Quantum Unitary Transformations.IEEE TRANSACTIONS ON CYBERNETICS,47(12),4405-4417.
MLA	Wu, Chengzhi,et al."Robust Learning Control Design for Quantum Unitary Transformations".IEEE TRANSACTIONS ON CYBERNETICS 47.12(2017):4405-4417.