Optimal distributed multiparameter estimation in noisy environments

• URL: http://arxiv.org/abs/2306.01077v1
• Date: Thu, 1 Jun 2023 18:32:53 GMT
• Title: Optimal distributed multiparameter estimation in noisy environments
• Authors: Arne Hamann, Pavel Sekatski, Wolfgang D\"ur
• Abstract summary: 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.
• Score: 0.3093890460224435
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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