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Quantum Annealing - Foundations and Frontiers

Published 25 Aug 2014 in cond-mat.stat-mech, cond-mat.supr-con, and quant-ph | (1408.5784v1)

Abstract: We briefly review various computational methods for the solution of optimization problems. First, several classical methods such as Metropolis algorithm and simulated annealing are discussed. We continue with a description of quantum methods, namely adiabatic quantum computation and quantum annealing. Next, the new D-Wave computer and the recent progress in the field claimed by the D-Wave group are discussed. We present a set of criteria which could help in testing the quantum features of these computers. We conclude with a list of considerations with regard to future research.

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