Non-Markovian N-spin chain quantum battery in thermal charging process
Shun-Cai Zhao1, Zi-Ran Zhao1, Ni-Ya Zhuang1
1Kunming University of Science and Technology, Kunming University of Science and Technology, Center for Quantum Materials and Computational Condensed Matter Physics, Kunming 650500, People's Republic of China and School of Science, Department of Physics, Kunming 650093, People's Republic of China.
We studied quantum battery performance using ergotropy dynamics in a non-Markovian system. Coordinated control suppresses oscillations, offering insights for practical quantum battery design.
Area of Science:
- Quantum physics
- Quantum thermodynamics
- Condensed matter physics
Background:
- Ergotropy is a key metric for quantum battery (QB) performance.
- Non-Markovian dynamics in quantum systems present unique challenges and opportunities.
Purpose of the Study:
- Investigate ergotropy dynamics in a non-Markovian quantum battery.
- Analyze methods to control and suppress ergotropy oscillations during thermal charging.
Main Methods:
- Utilized the Redfield master equation to model ergotropy dynamics.
- Simulated an N-spin chain quantum battery within a microcavity.
- Explored the effects of system and environmental parameters on ergotropy evolution.
Main Results:
- Observed distinct oscillatory behavior in thermal charging, unlike Markovian processes.
- Demonstrated effective suppression of these oscillations via coordinated tuning.
- Identified rich dynamical features influenced by various system parameters.
Conclusions:
- Coordinated control strategies can manage energy extraction in quantum batteries.
- Findings provide insights for designing practical quantum battery architectures.
- Understanding non-Markovian dynamics is crucial for optimizing QB performance.
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