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Updated: Mar 3, 2026
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Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving
Published on: March 30, 2017
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Minimizing irreversible losses in quantum systems by local counterdiabatic driving
Dries Sels1,2, Anatoli Polkovnikov3
1Department of Physics, Boston University, Boston, MA 02215; dsels@bu.edu.
Summary
Researchers developed a variational approach for counterdiabatic driving protocols to enable faster quantum annealing. This method suppresses heating and enhances fidelity in complex systems, overcoming limitations of exact protocols.
Area of Science:
- Quantum mechanics
- Quantum information science
- Computational physics
Background:
- Counterdiabatic driving protocols aim to achieve rapid Hamiltonian changes without inducing transitions, potentially enabling faster quantum annealing.
- Exact counterdiabatic protocols are known to be infeasible in large, chaotic quantum systems.
- Standard adiabatic quantum dynamics require infinitesimally slow processes, limiting practical applications.
Purpose of the Study:
- To develop an approximate counterdiabatic driving protocol applicable to complex, many-particle systems.
- To find practical protocols that adhere to physical constraints such as locality.
- To enhance the fidelity and suppress heating in quantum annealing processes.
Main Methods:
- Introduced a simple variational approach to derive approximate counterdiabatic driving protocols.
- Focused on protocols that are experimentally and numerically implementable.
- Investigated the behavior of these protocols in the fast driving limit.
Main Results:
- Demonstrated significant suppression of heating in complex many-particle systems using the approximate protocols.
- Showcased a substantial increase in the fidelity of quantum annealing protocols.
- Established an effective dual description of adiabatic dynamics in the fast driving limit.
Conclusions:
- The developed variational approach provides the best possible approximate counterdiabatic protocols under physical constraints.
- These protocols offer a practical solution for fast quantum annealing in complex systems, overcoming limitations of exact methods.
- The findings pave the way for more efficient and robust quantum control strategies.
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