Correlated Noise Estimation with Quantum Sensor Networks

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Authors: Anthony J. Brady, Yu-Xin Wang, Victor V. Albert, Alexey V. Gorshkov, Quntao Zhuang
Cited by: 3
References: 100

Abstract

We address the metrological problem of estimating collective stochastic properties imprinted on a network of quantum sensors. Canonical examples include center-of-mass quadrature fluctuations in a system of bosonic modes and correlated dephasing in an ensemble of qubits (e.g., spins), bosons, or fermions. We develop a theoretical framework to determine the limits of correlated (weak) noise estimation with quantum sensor networks and reveal the requirements for entanglement advantage. Notably, an advantage emerges from the synergistic interplay between quantum correlations of the sensors and "classical" correlations of the noises. We determine optimal entangled probe states and identify a sensing protocol-reminiscent of a many-body echo-that achieves the fundamental limits of measurement sensitivity for a broad class of problems, unveiling a route toward entanglement-enhanced metrology of correlated many-body phenomena.

Fields of Study & Subjects

Quantum Information and Cryptography Quantum Mechanics and Applications

Publication details

Journal / source
Physical Review Letters
Publisher
American Physical Society (APS)
Volume
136
Issue
8
Pages
080803–080803
Publication date
30 January 2026
Language
EN