Engineering the success of quantum walk search using weighted graphs

Thomas G. Wong and Pascal Philipp
Phys. Rev. A 94, 022304 – Published 4 August 2016

Abstract

Continuous-time quantum walks are natural tools for spatial search, where one searches for a marked vertex in a graph. Sometimes the structure of the graph causes the walker to get trapped, such that the probability of finding the marked vertex is limited. We give an example with two linked cliques, proving that the captive probability can be liberated by increasing the weights of the links. This allows the search to succeed with probability 1 without increasing the energy scaling of the algorithm. Further increasing the weights, however, slows the runtime, so the optimal search requires weights that are neither too weak nor too strong.

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  • Received 17 May 2016

DOI:https://doi.org/10.1103/PhysRevA.94.022304

©2016 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Quantum Information, Science & Technology

Authors & Affiliations

Thomas G. Wong*

  • Faculty of Computing, University of Latvia, Raiņa bulv. 19, Rīga, LV-1586, Latvia

Pascal Philipp

  • National Laboratory for Scientific Computing, Petrópolis, CEP 25651-075, Rio de Janeiro, Brazil

  • *twong@lu.lv
  • pasc.philipp@gmail.com

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Issue

Vol. 94, Iss. 2 — August 2016

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