Optimal distributed multiparameter estimation in noisy environments
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
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| _version_ | 1866909233397628928 |
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| author | Hamann, Arne Sekatski, Pavel Dür, Wolfgang |
| author_facet | Hamann, Arne Sekatski, Pavel Dür, Wolfgang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_01077 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Optimal distributed multiparameter estimation in noisy environments Hamann, Arne Sekatski, Pavel Dür, Wolfgang Quantum Physics 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. |
| title | Optimal distributed multiparameter estimation in noisy environments |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2306.01077 |