经典驱动辅助量子比特阵列量子电池。

IF 2.4 3区 物理与天体物理 Q1 Mathematics
Zai-Kun Wang, Kai Xu, Zhen-Dong Wei, Wei Han, Ying-Jie Zhang, Zhong-Xiao Man, Yun-Jie Xia
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引用次数: 0

摘要

讨论了Born-Karman边界条件下一维耦合量子比特-阵列量子电池模型,并研究了其充放电过程。将量子电池的存储能量、充电功率和自向性作为量子电池的基本物理指标,观察到最小化量子比特阵列中最近邻居量子比特之间的跳变相互作用和增加量子比特的数量在电池设置过程中至关重要。此外,我们采用经典驱动场来优化电池性能,并通过调整经典场的驱动强度来探索最佳量子电池性能。最后,我们发现在我们的协议中,充电器的初始能量不再需要高于电池的能量,即使充电器的初始可用能量有限,充电器也会继续为电池提供能量。而在基态中制备电池初始状态的传统方法,正如之前的研究所观察到的,可能不一定是最佳选择。通过引入强大的经典驱动场,可以通过允许电池内部初始存在一些能量来增强能量存储。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classical-driving-assisted qubit-array quantum battery.

We discuss a one-dimensional coupled qubit-array quantum battery model under Born-Karman boundary conditions and investigate both the charging and discharging processes. Applying the stored energy, charging power, and ergotropy as the essential physical indicators of quantum battery, it is observed that minimizing the hopping interaction between the nearest-neighbor qubits in the qubit-array and increasing the number of qubits during battery setup are crucial. Additionally, we employ a classical driving field to optimize battery performance and explore the optimal quantum battery performance by adjusting the driving strength of the classical field. Finally, we have discovered that the initial energy in the charger no longer needs to be higher than the energy in the battery in our protocol, the charger will continue to supply energy to the battery even when there is limited initial available energy in the charger. And the conventional approach of preparing the battery's initial state in its ground state, as observed in previous studies, may not necessarily be the optimal choice. By introducing a strong classical driving field, it is possible to enhance energy storage by allowing for an initial presence of some energy within the battery.

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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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