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arXiv · 2509.03766

Coherence-Driven Quantum Battery Charging via Autonomous Thermal Machines: Energy Transfer, Memory Effects, and Ergotropy Enhancement

Achraf Khoudiri·Abderrahman Oularabi·Khadija El Anouz·İlkay Demir·Abderrahim El Allati
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Abstract

In this work, we study a hybrid quantum system composed of a quantum battery and a coherence-driven charger interacting with a Quantum Autonomous Thermal Machine (QATM). The QATM, made of two qubits, each coupled to Markovian bosonic thermal reservoirs at different temperatures, acts as a structured environment that mediates energy and coherence between the charger and the battery. By applying a coherent driving field on the charger, we investigate the coherence injection effect on the dynamics, including non-Markovianity, power of charging, coherence storage, and ergotropy. We show that the QATM filters the decoherence induced by the thermal baths and induces non-Markovian memory effects due to correlation backflow. Our results demonstrate that coherence driving enhances the battery's ergotropy; coherence driving raises the maximum ergotropy by approximately 40% compared to the case without coherence driving, and the power of charging by preserving the internal energy of the charger.

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Achraf Khoudiri, Abderrahman Oularabi, Khadija El Anouz, İlkay Demir, Abderrahim El Allati. 2025-09-03. Coherence-Driven Quantum Battery Charging via Autonomous Thermal Machines: Energy Transfer, Memory Effects, and Ergotropy Enhancement. https://doi.org/10.1016/j.physleta.2025.131178

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