NDLI: Optimized quantum random-walk search algorithm for multi-solution search

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Optimized quantum random-walk search algorithm for multi-solution search

Content Provider	Scilit
Author	Zhang, Yu-Chao Bao, Wan-Su Wang, Xiang Fu, Xiang-Qun
Copyright Year	2015
Description	Journal: Chinese Physics B This study investigates the multi-solution search of the optimized quantum random-walk search algorithm on the hypercube. Through generalizing the abstract search algorithm which is a general tool for analyzing the search on the graph to the multi-solution case, it can be applied to analyze the multi-solution case of quantum random-walk search on the graph directly. Thus, the computational complexity of the optimized quantum random-walk search algorithm for the multi-solution search is obtained. Through numerical simulations and analysis, we obtain a critical value of the proportion of solutions q. For a given q, we derive the relationship between the success rate of the algorithm and the number of iterations when q is no longer than the critical value.
Related Links	http://iopscience.iop.org/article/10.1088/1674-1056/24/11/110309/pdf
ISSN	16741056
e-ISSN	20583834
DOI	10.1088/1674-1056/24/11/110309
Journal	Chinese Physics B
Issue Number	11
Volume Number	24
Language	English
Publisher	IOP Publishing
Publisher Date	2015-11-01
Access Restriction	Open
Subject Keyword	Journal: Chinese Physics B Public, Environmental and Occupational Health Numerical Simulations Walk Search Quantum Random Random Walk Search Algorithm Multi Solution
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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