中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Lackadaisical discrete-time quantum walk on Johnson graph

文献类型:期刊论文

作者Peng, Fangjie2,3; Li, Meng2,3; Sun, Xiaoming1,2,3
刊名PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
出版日期2024-02-01
卷号635页码:16
关键词Discrete-time quantum walk Johnson graph Quadratic speedup
ISSN号0378-4371
DOI10.1016/j.physa.2024.129495
英文摘要Quantum walk is widely used in search problems, and it has an ideal acceleration effect compared with classical algorithm. Suppose there is a marked vertex omega on Johnson graph J(n, k), we hope to find omega using quantum walk. We adopt the coined quantum walk model, and we have proved that, for fixed order k, lackadaisical discrete-time quantum walk (DTQW) can find omega with success probability 1-o(1), keeping a quadratic speedup. Before this paper, the best result of DTQW is that discrete-time quantum walk finds.. with success probability 1/2 -o(1). We improve the success probability to 1 -o(1) by adding self-loops with proper weights and choose the appropriate oracle operator. Our result also matches the result of continuous-time quantum walk.
WOS研究方向Physics
语种英语
WOS记录号WOS:001158500800001
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/38355]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Meng
作者单位1.Shanghai Innovat Ctr Processor Technol, Shanghai 200234, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Peng, Fangjie,Li, Meng,Sun, Xiaoming. Lackadaisical discrete-time quantum walk on Johnson graph[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2024,635:16.
APA Peng, Fangjie,Li, Meng,&Sun, Xiaoming.(2024).Lackadaisical discrete-time quantum walk on Johnson graph.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,635,16.
MLA Peng, Fangjie,et al."Lackadaisical discrete-time quantum walk on Johnson graph".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 635(2024):16.

入库方式: OAI收割

来源:计算技术研究所

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