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    American Physical Society (APS)
    Publication Date: 2018-01-30
    Description: Author(s): Tameem Albash and Daniel A. Lidar The simple act of slowly varying the parameters of a quantum system so that it remains always in its ground state is extremely rich from an information processing point of view. For an ideal, closed system, this adiabatic evolution is equivalent to full quantum computation, and it is convenient for establishing quantum algorithms for optimization. This review presents adiabatic quantum algorithms, proves the closed-system equivalence of the adiabatic and circuit models of quantum computation, reviews the placement of adiabatic quantum computation in the more general classification of computational complexity theory, and discusses the case of “stoquastic” quantum evolutions. [Rev. Mod. Phys. 90, 015002] Published Mon Jan 29, 2018
    Keywords: Quantum information
    Print ISSN: 0034-6861
    Electronic ISSN: 1539-0756
    Topics: Physics
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