High-efficiency and noise-immune quantum battery

TL;DR

This paper proposes a dynamical modulation method to enhance quantum battery efficiency and noise immunity, effectively reducing counter-rotating effects and improving energy storage robustness.

Contribution

It introduces a modulation technique to eliminate counter-rotating interactions, enabling optimal charging and high resilience to noise in quantum batteries.

Findings

Time-varying modulation reduces counter-rotating coupling.

Elimination of counter-rotating terms leads to optimal charging.

Scenario is highly resilient to dissipation noise, enabling perfect energy storage.

Abstract

Nowadays, quantum batteries (QBs) have been designed to outperform their classical counterparts by leveraging quantum advantages. For instance, the charging power greatly benefits from the entanglement generation of a collective charging scheme (e.g., the Dicke QB), especially in the ultrastrong coupling (USC) regime or even larger. However, apart from the fragility of the QB under intrinsic decoherence effects, another critical drawback emerges inevitably. Specifically, the non-negligible counter-rotating (CR) term in the USC regime would induce coherence in the energy basis of QB, thus remarkably degrading the charging efficiency. To tackle these challenges, we propose a high-efficiency and noise-immune QB boosted by dynamical modulation. It is demonstrated that the time-varying modulation can effectively reduce the CR coupling, resulting in a notable improvement in charging efficiency. Particularly, for a judicious choice of modulation parameters that entirely eliminate the CR interaction, the Dicke QB can be charged optimally, resembling the behavior of the Tavis-Cummings QB. In the subsequent storage process, beyond the natural robustness to pure dephasing noise, our scenario is also highly resilient to the dissipation noise and thus can achieve perfect energy storage by effective bath engineering. While feasible with current experimental platforms, our proposal offers a solid foundation for the implementation of a powerful QB and may drastically promote the development of energy storage and delivery techniques in the future.