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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2603.06370 |
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| _version_ | 1866918375722057728 |
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| author | Franceschetti, Lorenzo Ticozzi, Francesco |
| author_facet | Franceschetti, Lorenzo Ticozzi, Francesco |
| contents | We introduce a state-based feedback law that stabilizes quantum states or subspaces associated with extremal values of a continuously monitored observable - a problem motivated by quantum cooling tasks. We then propose an output-based approximation that uses simple filtering of the measurement record to emulate the required feedback signal, thereby avoiding full real-time quantum state estimation, a key bottleneck for implementing and scaling filtering-based feedback control. The performance of the resulting strategy is demonstrated numerically on two test-bed models for feedback cooling. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_06370 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Quantum Feedback Cooling without State Filtering Franceschetti, Lorenzo Ticozzi, Francesco Quantum Physics We introduce a state-based feedback law that stabilizes quantum states or subspaces associated with extremal values of a continuously monitored observable - a problem motivated by quantum cooling tasks. We then propose an output-based approximation that uses simple filtering of the measurement record to emulate the required feedback signal, thereby avoiding full real-time quantum state estimation, a key bottleneck for implementing and scaling filtering-based feedback control. The performance of the resulting strategy is demonstrated numerically on two test-bed models for feedback cooling. |
| title | Quantum Feedback Cooling without State Filtering |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2603.06370 |