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arXiv · 2610.19471

Retrieving Metrological Information from Noisy Squeezed Spin States via Bayesian Optimization

Enze Li·Yunjie Cai·Jingwei Zhang·Emi Yukawa
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Abstract

Frequency inhomogeneity can obscure the metrological advantage of squeezed spin states, making the choice of readout crucial. We study interacting spin-1/2 ensembles with static local frequency disorder and optimize a common collective readout over independent disorder realizations. Using Bayesian optimization of the full measurement-outcome distribution, we identify observables combining dipole and quadrupole operators that yield greater classical Fisher information than the optimized dipole readout considered here. For ensembles of up to 17 spins, their disorder-averaged CFI surpasses the standard quantum limit at both disorder strengths studied, including a regime where the dipole readout remains below it. For the larger ensembles studied, fixing the encoding axis to the direction that maximizes the disorder-averaged quantum Fisher information retains nearly the same performance. These results identify a route to extracting metrological information from frequency-disordered spin ensembles through the choice of collective observable.

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Enze Li, Yunjie Cai, Jingwei Zhang, Emi Yukawa. 2026-10-14. Retrieving Metrological Information from Noisy Squeezed Spin States via Bayesian Optimization. https://arxiv.org/abs/2610.19471

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