A Single-Ion Information Engine for Charging Quantum Battery
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909870240825344 |
|---|---|
| author | Zhang, Jialiang Wang, Pengfei Chen, Wentao Cai, Zhengyang Qiao, Mu Li, Riling Huang, Yingye Tian, Haonan Tu, Henchao Cui, Kaifeng Yan, Leilei Zhang, Junhua Zhang, Jingning Yung, Manhong Kim, Kihwan |
| author_facet | Zhang, Jialiang Wang, Pengfei Chen, Wentao Cai, Zhengyang Qiao, Mu Li, Riling Huang, Yingye Tian, Haonan Tu, Henchao Cui, Kaifeng Yan, Leilei Zhang, Junhua Zhang, Jingning Yung, Manhong Kim, Kihwan |
| contents | Information engines produce mechanical work through measurement and adaptive control. For information engines, the principal challenge lies in how to store the generated work for subsequent utilization. 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 a charging efficiency over 50\% of the theoretical limit at the optimal temperature. 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_14373 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Single-Ion Information Engine for Charging Quantum Battery Zhang, Jialiang Wang, Pengfei Chen, Wentao Cai, Zhengyang Qiao, Mu Li, Riling Huang, Yingye Tian, Haonan Tu, Henchao Cui, Kaifeng Yan, Leilei Zhang, Junhua Zhang, Jingning Yung, Manhong Kim, Kihwan Quantum Physics Information engines produce mechanical work through measurement and adaptive control. For information engines, the principal challenge lies in how to store the generated work for subsequent utilization. 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 a charging efficiency over 50\% of the theoretical limit at the optimal temperature. 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. |
| title | A Single-Ion Information Engine for Charging Quantum Battery |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2408.14373 |