Quantum learning control using differential evolution with equally-mixed strategies
Hailan MA
Daoyi DONG
Chuan-Cun SHU
Zhangqing ZHU
Chunlin CHEN
摘要：Learning control has been recognized as a powerful approach in quantum information technology.In this paper,we extend the application of differential evolution (DE) to design optimal control for various quantum systems.Various DE methods are introduced and analyzed,and EMSDE featuring in equally mixed strategies is employed for quantum control.Two classes of quantum control problems,including control of four-level open quantum ensembles and quantum superconducting systems,are investigated to demonstrate the performance of EMSDE for learning control of quantum systems.Numerical results verify the effectiveness of the EMSDE method for various quantum systems and show the potential for complex quantum control problems.
机标关键词：differential evolutionlearning controlcontrol problemsinformation technologyoptimal control
资助基金：the National Natural Science Foundation of China()the National Natural Science Foundation of China(61374092)the National Natural Science Foundation of China(61432008)the National Key Research and Development Program of China(2016YFD0702100)
论文发表日期：2017-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：16( 226-241 )
英文信息