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Related Experiment Videos

Thermally assisted adiabatic quantum computation.

M H S Amin1, Peter J Love, C J S Truncik

  • 1D-Wave Systems Inc., 100-4401 Still Creek Drive, Burnaby, British Columbia, V5C 6G9, Canada. amin@dwavesys.com

Physical Review Letters
|March 21, 2008
PubMed
Summary
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Thermal environments can surprisingly boost adiabatic quantum computation. This study shows how specific environments enhance performance, enabling faster computations and outperforming classical methods.

Area of Science:

  • Quantum computation
  • Quantum information science
  • Condensed matter physics

Background:

  • Adiabatic quantum computation (AQC) is a leading paradigm for quantum computation.
  • Understanding environmental effects is crucial for practical AQC implementation.
  • The Bloch-Redfield formalism is a standard tool for studying open quantum systems.

Purpose of the Study:

  • To investigate the impact of thermal environments on adiabatic quantum computation.
  • To identify mechanisms by which environments can enhance AQC performance.
  • To analyze the role of environment spectral properties, such as super-Ohmic environments.

Main Methods:

  • Utilizing the Bloch-Redfield formalism to model open quantum systems.
  • Analyzing the interplay between environmental timescales and adiabatic timescales.

Related Experiment Videos

  • Applying the developed formalism to the adiabatic Grover search algorithm.
  • Main Results:

    • Demonstrated two distinct ways thermal environments can enhance AQC: faster thermal mixing and post-anticrossing relaxation.
    • Showed that super-Ohmic environments can improve computational scaling.
    • Identified prefactor enhancement from relaxation mechanisms.
    • Achieved performance superior to classical computation for adiabatic Grover search with a super-Ohmic environment.

    Conclusions:

    • Thermal environments are not always detrimental and can be harnessed to improve AQC.
    • Super-Ohmic environments offer a pathway to enhanced scaling in AQC.
    • The Bloch-Redfield approach provides a powerful framework for analyzing environmental effects in AQC, even without prior knowledge of the energy spectrum.