发表机构
Università di Genova; CNR-SPIN; Università degli Studi dell’Insubria; Istituto Nazionale di Fisica Nucleare, Sezione di Milano（热那亚大学; 意大利国家研究委员会自旋物理研究所; 因苏布里亚大学; 意大利国家核物理研究所，米兰分部）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究通过理论分析和数值模拟，证明非马尔可夫记忆效应能增强微脉泽量子电池的充电容量和稳定性，并可在固态电路量子电动力学平台实现。
AI 中文摘要
我们从理论上研究了非马尔可夫性在量子电池充电过程中所扮演的角色。我们聚焦于微脉泽的情形，其中能量存储于谐振腔模式中，记忆效应通过将该模式耦合至一个记忆辅助量子比特（描述为二能级系统）而引入并加以控制，该辅助量子比特随后通过两两交换相互作用（导致部分交换）与一串二能级充电器依次相互作用。通过数值分析，我们表明非马尔可夫记忆效应作为一种资源，相较于马尔可夫对应情形，增强了该器件的充电容量和稳定性。我们结束研究时表明，所提出的方案可以在最先进的固态电路量子电动力学平台中实现。
英文摘要
We theoretically investigate the role played by non-Markovianity in the charging of a quantum battery. We focus on the case of a Micromaser, where the energy is stored in a resonant cavity mode and memory effects are introduced and controlled by coupling this mode to a memory ancilla, described as a two-level system, that in turn sequentially interacts with a stream of two-level chargers through pairwise exchange interactions leading to a partial swap. Through numerical analysis, we show that non-Markovian memory effects act as a resource that enhances both the charging capacity and the stability of this device with respect to the Markovian counterpart. We conclude our study showing that the proposed scheme can be implemented in state-of-the-art solid-state platforms for circuit quantum electrodynamics.
Comments18 pages, 10 figures
