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arXiv 2210.04028quant-ph
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量子电池的最优控制方法

Optimal Control Methods for Quantum Batteries

Francesco Mazzoncini, Vasco Cavina, Gian Marcello Andolina, Paolo Andrea Erdman, Vittorio Giovannetti

AI总结:

本文研究量子电池的最优充电过程,利用最优控制理论通过有限时间调制外部场最大化存储能量,发现最优解的普适性特征(如 Bang-Bang 行为),并在耦合量子比特与谐振子系统中通过解析-数值方法显式求解,适用于直接与中介充电及更复杂的多体系统。

摘要:

我们研究了几种量子电池模型的最优充电过程,探讨了如何通过对一组外部场进行有限时间调制来最大化给定电池中存储的能量。我们使用最优控制理论的先进工具来解决该问题,强调了最优解某些特征的普适性,例如时间依赖外部场中著名的 Bang-Bang 行为的出现。本文提出的技术具有通用性,我们将其应用于具体案例,包括能量由外力泵入电池(直接充电)或从外部充电器转移至电池(中介充电)。本文聚焦于由耦合量子比特与谐振子组成的特定系统,利用基于我们最优控制技术的解析与数值相结合的方法,可以显式求解该系统的最优充电问题。然而,该方法可应用于更复杂的装置,从而促进对充电过程中多体效应的研究。

英文摘要:

We investigate the optimal charging processes for several models of quantum batteries, finding how to maximize the energy stored in a given battery with a finite-time modulation of a set of external fields. We approach the problem using advanced tools of optimal control theory, highlighting the universality of some features of the optimal solutions, for instance the emergence of the well-known Bang-Bang behavior of the time-dependent external fields. The technique presented here is general, and we apply it to specific cases in which the energy is both pumped into the battery by external forces (direct charging) or transferred into it from an external charger (mediated charging). In this article we focus on particular systems that consist of coupled qubits and harmonic oscillators, for which the optimal charging problem can be explicitly solved using a combined analytical-numerical approach based on our optimal control techniques. However, our approach can be applied to more complex setups, thus fostering the study of many-body effects in the charging process.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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