Quantum Charging Advantage in Superconducting Solid-State Batteries

Quantum battery, as a novel energy storage device, offers the potential for unprecedented efficiency and performance beyond the capabilities of classical systems, with broad implications for future quantum technologies. Here, we experimentally demonstrate quantum charging advantage (QCA) in a scalable solid-state quantum battery. More specifically, we show how double-excitation Hamiltonians for two-level systems promote scalable QCA with standard methods. We effectively implement the collective evolution of quantum systems with two up to 12 battery cells in a superconducting quantum processor, and study the performance of quantum charging compared to its uncorrelated classical counterpart. The model considered is a linear chain of superconducting transmon qubits with only nearest-neighbor and pairwise interactions, which constitute the simplest model of a multi-cell quantum battery. Our results empirically realize substantial QCA without the necessity of adopting long-range and many-body interactions and showcase the quantum features of the QB charging processes with measurements of nonzero coherent ergotropy, incoherent ergotropy, and entanglement, revealing a promising prospect for further developments of efficient and experimentally feasible protocols for QCA.

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Publication Details

Journal
Physical Review Letters
Published
2026-01-13
DOI
https://doi.org/10.1103/sp5l-c6m8
Citations
1
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
36.90

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article

Quantum Charging Advantage in Superconducting Solid-State Batteries

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1 citations
Physical Review Letters
Advanced Thermodynamics and Statistical Mechanics
36.90
article

Quantum Charging Advantage in Superconducting Solid-State Batteries

Dapeng Yu, Alan C. Santos, Rui Zhou, Haolan Yuan, A. Saguia, Yue Xu, M. S. Sarandy, M. X. Luo, Song Liu, J. Zhao, Dian Tan, Chilong Liu, Anonymous, Xiayu Linpeng, Guantian Hu, Liuzhu Zhong, Guixu Xie, Yougui Ri, Ruicheng Deng, Yongchang Lin, Mingze Liu, Wenxuan Zhang, Yuxuan Zhou
article en
1 citations

Abstract

Quantum battery, as a novel energy storage device, offers the potential for unprecedented efficiency and performance beyond the capabilities of classical systems, with broad implications for future quantum technologies. Here, we experimentally demonstrate quantum charging advantage (QCA) in a scalable solid-state quantum battery. More specifically, we show how double-excitation Hamiltonians for two-level systems promote scalable QCA with standard methods. We effectively implement the collective evolution of quantum systems with two up to 12 battery cells in a superconducting quantum processor, and study the performance of quantum charging compared to its uncorrelated classical counterpart. The model considered is a linear chain of superconducting transmon qubits with only nearest-neighbor and pairwise interactions, which constitute the simplest model of a multi-cell quantum battery. Our results empirically realize substantial QCA without the necessity of adopting long-range and many-body interactions and showcase the quantum features of the QB charging processes with measurements of nonzero coherent ergotropy, incoherent ergotropy, and entanglement, revealing a promising prospect for further developments of efficient and experimentally feasible protocols for QCA.

Physical Review LettersVol. 136(6)
Consejo Superior de Investigaciones Científicas (ES), Universidade Federal Fluminense (BR), Southern University of Science and Technology (CN), Hefei University (CN), Quantum (Australia) (AU), Unidades Centrales Científico-Técnicas (ES)
Comunidad de Madrid, National Natural Science Foundation of China, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Instituto Nacional de Ciência e Tecnologia de Informação Quântica, National Science and Technology Major Project
Affordable and clean energy
Openalex Percentile: Top 1%
Advanced Thermodynamics and Statistical Mechanics
36.90
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