Impact of non-Markovian quantum Brownian motion on quantum batteries
Gourab Bhanja, Devvrat Tiwari, Subhashish Banerjee

TL;DR
This paper explores how non-Markovian effects in quantum Brownian motion influence the charging and discharging dynamics of quantum batteries, highlighting the role of environmental memory and temperature in their performance.
Contribution
It introduces a quantum battery model coupled to a non-Markovian environment and analyzes how memory effects impact energy transfer and recharging efficiency.
Findings
Memory effects enhance recharging efficiency.
Temperature influences discharging dynamics.
Non-Markovianity correlates with improved energy recovery.
Abstract
Recently, there has been an upsurge of interest in quantum thermodynamic devices, notably quantum batteries. Quantum batteries serve as energy storage devices governed by the rules of quantum thermodynamics. Here, we propose a model of a quantum battery wherein the system of interest can be envisaged as a battery, and the ambient environment acts as a charger (dissipation) mechanism, modeled along the ubiquitous quantum Brownian motion. We employ quantifiers like ergotropy and its (in)-coherent manifestations, as well as instantaneous and average powers, to characterize the performance of the quantum battery. We investigate the influence of the bath's temperature and the system's coupling with the environment via momentum and position coordinates on the discharging and recharging dynamics. Moreover, we probe the memory effects of the system's dynamics and obtain a relationship between…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics
