Certifying ergotropy under partial information
Fuente:
arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914409220145152 |
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| author | Pagliaro, Egle Zambrano, Leonardo Alimuddin, Mir Hamma, Alioscia Acín, Antonio Farina, Donato |
| author_facet | Pagliaro, Egle Zambrano, Leonardo Alimuddin, Mir Hamma, Alioscia Acín, Antonio Farina, Donato |
| contents | Ergotropy, the maximum work extractable from a quantum system, is a central resource in quantum physics. Computing ergotropy is well established when the system state is fully known, but its estimation under partial information remains an open problem. Here we introduce a general certification framework that lower bounds ergotropy using only the expectation values of a limited set of arbitrary observables. The method naturally applies in the finite-statistics regime, yielding confidence-certified bounds that explicitly incorporate shot noise. We benchmark our approach on both synthetic data and experimental measurements from an IBM quantum processor. This establishes a robust and experimentally accessible tool for certifying extractable work in realistic quantum settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_18828 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Certifying ergotropy under partial information Pagliaro, Egle Zambrano, Leonardo Alimuddin, Mir Hamma, Alioscia Acín, Antonio Farina, Donato Quantum Physics Mesoscale and Nanoscale Physics Statistical Mechanics Ergotropy, the maximum work extractable from a quantum system, is a central resource in quantum physics. Computing ergotropy is well established when the system state is fully known, but its estimation under partial information remains an open problem. Here we introduce a general certification framework that lower bounds ergotropy using only the expectation values of a limited set of arbitrary observables. The method naturally applies in the finite-statistics regime, yielding confidence-certified bounds that explicitly incorporate shot noise. We benchmark our approach on both synthetic data and experimental measurements from an IBM quantum processor. This establishes a robust and experimentally accessible tool for certifying extractable work in realistic quantum settings. |
| title | Certifying ergotropy under partial information |
| topic | Quantum Physics Mesoscale and Nanoscale Physics Statistical Mechanics |
| url | https://arxiv.org/abs/2603.18828 |