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Related Experiment Videos

Quantum annealing in a kinetically constrained system.

Arnab Das1, Bikas K Chakrabarti, Robin B Stinchcombe

  • 1Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata-700064, India. arnabdas@cmp.saha.ernet.in

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 4, 2005
PubMed
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Classical and quantum annealing were studied in a kinetically constrained model. Quantum annealing proved significantly faster in reaching the ground state by overcoming energy barriers, outperforming thermal annealing.

Area of Science:

  • Condensed matter physics
  • Quantum computing

Background:

  • Kinetically constrained models exhibit slow relaxation dynamics due to energy barriers.
  • Understanding the role of fluctuations in overcoming these barriers is crucial for system optimization.

Purpose of the Study:

  • To investigate the effectiveness of classical and quantum annealing in generalized kinetically constrained models.
  • To compare the performance of thermal and quantum fluctuations in overcoming kinetic energy barriers.

Main Methods:

  • Analysis of relaxation dynamics in a generalized kinetically constrained model.
  • Study of thermal and quantum fluctuations' impact on barrier traversal.

Main Results:

  • Energy barriers in the relaxation path significantly retard system dynamics.

Related Experiment Videos

  • Quantum annealing demonstrates superior performance over thermal annealing for specific barrier characteristics.
  • Quantum fluctuations are more effective in overcoming kinetic barriers.

    • Conclusions:

    • Quantum annealing offers a potentially faster route to the ground state in certain kinetically constrained systems.
    • The findings highlight the potential advantages of quantum annealing for complex optimization problems.