中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Evolving quantum circuits at the gate level with a hybrid quantum-inspired evolutionary algorithm

文献类型:期刊论文

作者Ding, Shengchao2,3; Jin, Zhi1,2; Yang, Qing4
刊名SOFT COMPUTING
出版日期2008-09-01
卷号12期号:11页码:1059-1072
关键词quantum circuits design evolutionary algorithm optimization
ISSN号1432-7643
DOI10.1007/s00500-007-0273-9
英文摘要This paper proposes an approach to evolve quantum circuits at the gate level, based on a hybrid quantum-inspired evolutionary algorithm. This approach encodes quantum gates as integers and combines the cost and correctness of quantum circuits into the fitness function. A fast algorithm of matrix multiplication with Kronecker product has been proposed to speed up the calculation of matrix multiplication in individuals evaluation. This algorithm is shown to be better than the known best algorithm for matrix multiplication when a certain condition holds. The approach of evolving quantum circuits is validated by some experiments and the effects of some parameters are investigated. And finally, some features of the approach are also discussed.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000256825600004
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/11248]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Jin, Zhi
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100080, Peoples R China
4.S Cent Univ Nationalities, Sch Comp Sci & Technol, Wuhan 430074, Peoples R China
推荐引用方式
GB/T 7714
Ding, Shengchao,Jin, Zhi,Yang, Qing. Evolving quantum circuits at the gate level with a hybrid quantum-inspired evolutionary algorithm[J]. SOFT COMPUTING,2008,12(11):1059-1072.
APA Ding, Shengchao,Jin, Zhi,&Yang, Qing.(2008).Evolving quantum circuits at the gate level with a hybrid quantum-inspired evolutionary algorithm.SOFT COMPUTING,12(11),1059-1072.
MLA Ding, Shengchao,et al."Evolving quantum circuits at the gate level with a hybrid quantum-inspired evolutionary algorithm".SOFT COMPUTING 12.11(2008):1059-1072.

入库方式: OAI收割

来源:计算技术研究所

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