Optimal distributed multiparameter estimation in noisy environments
Quantum Physics
2024-07-02 v1
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.
Cite
@article{arxiv.2306.01077,
title = {Optimal distributed multiparameter estimation in noisy environments},
author = {Arne Hamann and Pavel Sekatski and Wolfgang Dür},
journal= {arXiv preprint arXiv:2306.01077},
year = {2024}
}
Comments
8 pages, 2 figures