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The European Physical Journal Special Topics

, Volume 224, Issue 1, pp 51–61 | Cite as

Performance of quantum annealing in solving optimization problems: A review

  • S. Suzuki
Review
Part of the following topical collections:
  1. Quantum Annealing: The Fastest Route to Quantum Computation?

Abstract

Quantum annealing is one of the optimization method for generic optimization problems. It uses quantum mechanics and is implemented by a quantum computer ideally. At the earlier stage, several numerical experiments using conventional computers have provided results showing that quantum annealing produces an answer faster than simulated annealing, a classical counterpart of quantum annealing. Later, theoretical and numerical studies have shown that there are drawbacks in quantum annealing. The power of quantum annealing is still an open problem. What makes quantum annealing a hot topic now is that a quantum computer based on quantum annealing is manufactured and commercialized by a Canadian company named D-Wave Systems. In the present article, we review the study of quantum annealing, focusing mainly on its power.

Keywords

Simulated Annealing European Physical Journal Special Topic Ising Model Quantum Phase Transition Solve Optimization Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© EDP Sciences and Springer 2015

Authors and Affiliations

  1. 1.Department of Liberal ArtsSaitama Medical UniversityMoroyamaJapan

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