Squeezed-Light-Enhanced Multiparameter Quantum Estimation in Cavity Magnonics

TL;DR

This paper proposes a realistic scheme using a degenerate optical parametric amplifier to enhance multiparameter quantum estimation in cavity-magnon systems by suppressing quantum noise, with potential applications in hybrid quantum systems.

Contribution

It introduces a novel experimental approach employing an OPA to improve estimation precision in cavity-magnon systems, analyzing physical mechanisms and measurement schemes.

Findings

Quantum noise suppression enhances estimation precision.

Nonlinearity significantly reduces quantum noise.

Gaussian measurement schemes are feasible experimentally.

Abstract

Improving multiparameter quantum estimation in magnonic systems via quantum noise suppression is a well-established and critical research objective. In this work, we propose an experimentally realistic scheme to improve the precision of simultaneously estimating different parameters in a cavity-magnon system by utilizing a degenerate optical parametric amplifier (OPA). The OPA enhances the estimation precision by decreasing the most informative quantum Cram\'er-Rao bound, calculated employing the symmetric logarithmic derivative (SLD) and the right logarithmic derivative (RLD). We show that when nonlinearity is introduced into the system, quantum noise is significantly suppressed. Our results show how different physical parameters influence multiparameter estimation precision and provide a detailed discussion of the associated physical mechanisms in the steady state. Our results focus on exploring practical Gaussian measurement schemes that can be realized experimentally. Besides, we further analyze the system's dynamics, comparing both the SLD quantum Fisher information (QFI) and the classical Fisher information (CFI) for both homodyne and heterodyne detection. This approach provides a robust foundation for multiparameter quantum estimation, offering significant potential for application in hybrid magnomechanical and optomechanical systems.