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Evolution of quantum resources in quantum-walk-based search algorithm

文献类型：期刊论文

作者Li, Meng2; Shi, Xian1
刊名RESULTS IN PHYSICS
出版日期2023-10-01
卷号53页码:7
关键词Quantum walk Quantum resources: generalized depolarizing noises
ISSN号2211-3797
DOI10.1016/j.rinp.2023.107029
英文摘要Quantum walk is fundamental to designing many quantum algorithms. Here we consider the effects of quantum coherence and quantum entanglement for the quantum walk search on the complete bipartite graph. First, we numerically show the complementary relationship between the success probability and the two quantum resources (quantum coherence and quantum entanglement). We also provide theoretical analysis in the asymptotic scenarios. At last, we discuss the role played by generalized depolarizing noises and find that it would influence the dynamics of success probability and quantum coherence sharply, which is demonstrated by theoretical derivation and numerical simulation.
资助项目China Postdoctoral Science Foundation[2022M723209] ; National Natural Science Foundation of China[62301531] ; National Natural Science Foundation of China[12301580] ; Fundamental Research Funds for the Central Universities, China[ZY2306] ; Funds of College of Information Science and Technology, Beijing University of Chemical Technology, China[0104/11170044115]
WOS研究方向Materials Science ; Physics
语种英语
WOS记录号WOS:001164941000001
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/38864]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Shi, Xian
作者单位1.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China
2.Chinese Acad Sci, State Key Lab Processors, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Li, Meng,Shi, Xian. Evolution of quantum resources in quantum-walk-based search algorithm[J]. RESULTS IN PHYSICS,2023,53:7.
APA Li, Meng,&Shi, Xian.(2023).Evolution of quantum resources in quantum-walk-based search algorithm.RESULTS IN PHYSICS,53,7.
MLA Li, Meng,et al."Evolution of quantum resources in quantum-walk-based search algorithm".RESULTS IN PHYSICS 53(2023):7.

入库方式： OAI收割

来源：计算技术研究所

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