Coherence depletion in the Grover quantum search algorithm

Hai-Long Shi, Si-Yuan Liu, Xiao-Hui Wang, Wen-Li Yang, Zhan-Ying Yang, and Heng Fan
Phys. Rev. A 95, 032307 – Published 7 March 2017

Abstract

We investigate the role of quantum coherence depletion (QCD) in the Grover search algorithm (GA) by using several typical measures of quantum coherence and quantum correlations. By using the relative entropy of coherence measure (Cr), we show that the success probability depends on the QCD. The same phenomenon is also found by using the l1 norm of coherence measure (Cl1). In the limit case, the cost performance is defined to characterize the behavior about QCD in enhancing the success probability of GA, which is only related to the number of searcher items and the scale of the database, regardless of using Cr or Cl1. In the generalized Grover search algorithm (GGA), the QCD for a class of states increases with the required optimal measurement time. In comparison, the quantification of other quantum correlations in GA, such as pairwise entanglement, multipartite entanglement, pairwise discord, and genuine multipartite discord, cannot be directly related to the success probability or the optimal measurement time. Additionally, we do not detect pairwise nonlocality or genuine tripartite nonlocality in GA since Clauser-Horne-Shimony-Holt inequality and Svetlichny's inequality are not violated.

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  • Received 13 November 2016

DOI:https://doi.org/10.1103/PhysRevA.95.032307

©2017 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Hai-Long Shi1,2, Si-Yuan Liu1,3,*, Xiao-Hui Wang2,3, Wen-Li Yang1,3, Zhan-Ying Yang2,3, and Heng Fan1,3,4

  • 1Institute of Modern Physics, Northwest University, Xi'an 710069, China
  • 2School of Physics, Northwest University, Xi'an 710069, China
  • 3Shaanxi Key Laboratory for Theoretical Physics Frontiers, Xi'an 710069, China
  • 4Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China

  • *syliu@iphy.ac.cn

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Vol. 95, Iss. 3 — March 2017

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