Multiparameter estimation with position-momentum correlated Gaussian probes

TL;DR

This paper explores how initial position-momentum correlations in Gaussian quantum probes can enhance the simultaneous estimation of environmental temperature and these correlations, providing new bounds and resource insights in quantum metrology.

Contribution

It introduces a framework for multiparameter estimation using correlated Gaussian probes, deriving precision bounds and demonstrating the resourcefulness of PM correlations.

Findings

PM correlations improve temperature estimation accuracy

Derived new quantum Fisher information bounds for joint estimation

Identified conditions for optimal parameter compatibility

Abstract

Gaussian quantum probes have been widely used in quantum metrology and thermometry, where the goal is to estimate the temperature of an environment with which the probe interacts. It was recently shown that introducing initial position-momentum (PM) correlations in such probes can enhance the estimation precision compared to standard, uncorrelated Gaussian states. Motivated by these findings, we investigate whether PM correlations can also be advantageous in a simultaneous estimation setting, specifically, when estimating both the PM correlations themselves and the effective environment temperature that interacts with the probe. Using the Quantum Fisher Information Matrix, we derive new precision bounds for this joint estimation task. Additionally, we demonstrate that such correlations can serve as a resource to improve temperature estimation within this multiparameter context. Finally, we analyze the compatibility between the two parameters, establishing conditions under which the derived bounds can be saturated.