Adiabatic Quantum Search in Open Systems

Dominik S. Wild, Sarang Gopalakrishnan, Michael Knap, Norman Y. Yao, and Mikhail D. Lukin
Phys. Rev. Lett. 117, 150501 – Published 6 October 2016
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Abstract

Adiabatic quantum algorithms represent a promising approach to universal quantum computation. In isolated systems, a key limitation to such algorithms is the presence of avoided level crossings, where gaps become extremely small. In open quantum systems, the fundamental robustness of adiabatic algorithms remains unresolved. Here, we study the dynamics near an avoided level crossing associated with the adiabatic quantum search algorithm, when the system is coupled to a generic environment. At zero temperature, we find that the algorithm remains scalable provided the noise spectral density of the environment decays sufficiently fast at low frequencies. By contrast, higher order scattering processes render the algorithm inefficient at any finite temperature regardless of the spectral density, implying that no quantum speedup can be achieved. Extensions and implications for other adiabatic quantum algorithms will be discussed.

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  • Received 11 June 2016

DOI:https://doi.org/10.1103/PhysRevLett.117.150501

© 2016 American Physical Society

Physics Subject Headings (PhySH)

General PhysicsAtomic, Molecular & OpticalQuantum Information, Science & Technology

Authors & Affiliations

Dominik S. Wild1, Sarang Gopalakrishnan2,3, Michael Knap4, Norman Y. Yao5, and Mikhail D. Lukin1

  • 1Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
  • 2Department of Physics and Walter Burke Institute, California Institute of Technology, Pasadena, California 91125, USA
  • 3Department of Engineering Science and Physics, CUNY College of Staten Island, Staten Island, New York 10134, USA
  • 4Department of Physics, Walter Schottky Institute, and Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany
  • 5Department of Physics, University of California, Berkeley, California 94720, USA

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Issue

Vol. 117, Iss. 15 — 7 October 2016

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