Single-Ion Information Engine for Charging Quantum Battery

Information engines produce mechanical work through measurement and adaptive control. For information engines, the principal challenge lies in how to store the generated work to the external load. Here, we report an experimental demonstration where quantized mechanical motion serves as a quantum battery and gets charged in repeated cycles by a single trapped-ion information engine. This is enabled by a key technological advancement in rapid state discrimination, allowing us to suppress measurement-induced disturbances. Consequently, we were able to obtain an information-to-ergotropy conversion efficiency approaching 67% of the theoretical limit at the optimal temperature, along with a maximum information-to-work conversion efficiency of 70%. The experimental results substantiate that this approach can render trapped ions a promising platform for microscopic information engines with potential applications in the future upon scaling up.

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Publication Details

Journal
Physical Review Letters
Published
2025-09-30
DOI
https://doi.org/10.1103/g45c-ssfx
Citations
7
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
9.27
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Single-Ion Information Engine for Charging Quantum Battery

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Single-Ion Information Engine for Charging Quantum Battery

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article en
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Abstract

Information engines produce mechanical work through measurement and adaptive control. For information engines, the principal challenge lies in how to store the generated work to the external load. Here, we report an experimental demonstration where quantized mechanical motion serves as a quantum battery and gets charged in repeated cycles by a single trapped-ion information engine. This is enabled by a key technological advancement in rapid state discrimination, allowing us to suppress measurement-induced disturbances. Consequently, we were able to obtain an information-to-ergotropy conversion efficiency approaching 67% of the theoretical limit at the optimal temperature, along with a maximum information-to-work conversion efficiency of 70%. The experimental results substantiate that this approach can render trapped ions a promising platform for microscopic information engines with potential applications in the future upon scaling up.

Physical Review LettersVol. 135(14)
Chinese Academy of Sciences (CN), Southern University of Science and Technology (CN), Zhengzhou University (CN), Hefei University (CN), Quantum (Australia) (AU), Beijing Academy of Quantum Information Sciences (CN), Qiannan Normal College For Nationalities (CN), Tsinghua University (CN)
Openalex Percentile: Top 2%
Advanced Thermodynamics and Statistical Mechanics
9.27
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