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
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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 |
DOI | 10.1007/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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