English

From Independent to Joint: Enhancing Quantum Phase and Correlation Factor Estimation by Squeezed Reservoir Engineering

Quantum Physics 2026-04-28 v1

Abstract

High-precision quantum parameter estimation is fundamental to the advancement of quantum metrology. Although reservoir engineering provides a powerful approach to improve estimation by tailoring system-environment interactions, the role of the squeezing phase and correlations arising from the sequential utilization of the same squeezed reservoir remains inadequately explored. In this work, we employ a correlated squeezed-thermal reservoir to enhance the precision of estimating the phase parameter ϕ\phi and the correlation factor μ\mu, both individually and simultaneously. We show that the squeezing phase Φ\Phi is crucial for achieving quantum-enhanced precision, with optimal phase-matching conditions that depend strongly on μ\mu. Specifically, we derive the near-optimal phase-matching relations aimed at maximizing the quantum Fisher information (QFI) for both ϕ\phi and μ\mu, as well as minimizing the total variance Δsim\Delta_{\rm sim} in joint estimation. Furthermore, we show that the joint estimation variance is dominated by FϕF_{\phi}, which motivates our search for the phase-matching conditions that minimize Δsim\Delta_{\text{sim}}. Through the ratio RR of variances, we demonstrate that joint estimation conserves quantum resources and maintains high precision when the squeezing phase is optimized for FϕF_{\phi}, despite the inherent incompatibility of the parameters. These findings provide practical insights into reservoir engineering strategies for high-precision quantum sensing and information processing.

Keywords

Cite

@article{arxiv.2604.23476,
  title  = {From Independent to Joint: Enhancing Quantum Phase and Correlation Factor Estimation by Squeezed Reservoir Engineering},
  author = {Cai-Hong Liao and Yan-Ling Li and Long Huang and Xing Xiao},
  journal= {arXiv preprint arXiv:2604.23476},
  year   = {2026}
}

Comments

19 pages, 12 figures

R2 v1 2026-07-01T12:35:24.944Z