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Search via quantum walk

Published:11 June 2007Publication History

ABSTRACT

We propose a new method for designing quantum search algorithms forfinding a "marked" element in the state space of a classical Markovchain. The algorithm is based on a quantum walk à la Szegedy [25] that is defined in terms of the Markov chain. The main new idea is to apply quantum phase estimation to the quantumwalk in order to implement an approximate reflection operator. Thisoperatoris then used in an amplitude amplification scheme. As a result weconsiderably expand the scope of the previous approaches ofAmbainis [6] and Szegedy [25]. Our algorithm combines the benefits of these approaches in terms of beingable to find marked elements, incurring the smaller cost of the two,and being applicable to a larger class of Markov chain. In addition,it is conceptually simple, avoids several technical difficulties in the previous analyses, and leads to improvements in various aspects of several algorithms based on quantum walk.

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      cover image ACM Conferences
      STOC '07: Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
      June 2007
      734 pages
      ISBN:9781595936318
      DOI:10.1145/1250790

      Copyright © 2007 ACM

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      Publication History

      • Published: 11 June 2007

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