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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| Online-Zugang: | https://arxiv.org/abs/2604.15953 |
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| _version_ | 1866914483015778304 |
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| author | Chen, Wanyan Chen, Miao Ma, Yu-Han |
| author_facet | Chen, Wanyan Chen, Miao Ma, Yu-Han |
| contents | While externally driven information engines are well understood, the thermodynamic constraints of their autonomous counterparts remain an open question. Here, we investigate the finite-time operation of an autonomous machine functioning as both an information eraser and a refrigerator, revealing that its irreversibility is bounded by the transient information geometry. Beyond steady-state boundaries, we map the landscape of optimal operation times across both functional modes, uncovering a unique synergistic regime where erasure power $P$ and efficiency $η$ increase simultaneously. Fundamentally, this performance is governed by a trade-off relation, $v(1-η)P/η\le D$, where $v$ is the operational speed and $D$ denotes an information-geometric distance. Our findings pave the way for optimizing fast autonomous information-energy conversion. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_15953 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Finite-Time Thermodynamics of an Autonomous Information Machine Chen, Wanyan Chen, Miao Ma, Yu-Han Quantum Physics Statistical Mechanics While externally driven information engines are well understood, the thermodynamic constraints of their autonomous counterparts remain an open question. Here, we investigate the finite-time operation of an autonomous machine functioning as both an information eraser and a refrigerator, revealing that its irreversibility is bounded by the transient information geometry. Beyond steady-state boundaries, we map the landscape of optimal operation times across both functional modes, uncovering a unique synergistic regime where erasure power $P$ and efficiency $η$ increase simultaneously. Fundamentally, this performance is governed by a trade-off relation, $v(1-η)P/η\le D$, where $v$ is the operational speed and $D$ denotes an information-geometric distance. Our findings pave the way for optimizing fast autonomous information-energy conversion. |
| title | Finite-Time Thermodynamics of an Autonomous Information Machine |
| topic | Quantum Physics Statistical Mechanics |
| url | https://arxiv.org/abs/2604.15953 |