Optimal distributed multiparameter estimation in noisy environments
| Autor: | Hamann, Arne, Sekatski, Pavel, Dür, Wolfgang |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | 2024 Quantum Sci. Technol. 9 035005 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1088/2058-9565/ad37d5 |
| Popis: | We consider the task of multiple parameter estimation in the presence of strong correlated noise with a network of distributed sensors. We study how to find and improve noise-insensitive strategies. We show that sequentially probing GHZ states is optimal up to a factor of at most 4. This allows us to connect the problem to single parameter estimation, and to use techniques such as protection against correlated noise in a decoherence-free subspace, or read-out by local measurements. Comment: 8 pages, 2 figures |
| Databáze: | arXiv |
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