Enhancing low-temperature quantum thermometry and magnetometry via quadratic interactions in optomechanical-like systems

TL;DR

This paper demonstrates that quadratic interactions in optomechanical systems can surpass fundamental precision limits of low-temperature quantum sensors by generating squeezing and non-Gaussian features, enhancing thermometry and magnetometry sensitivity.

Contribution

It introduces a novel approach using quadratic coupling to improve quantum sensing performance beyond standard radiation-pressure limits.

Findings

Quadratic interactions induce intrinsic squeezing and non-Gaussian features.

Enhanced sensitivity in low-temperature and weak-field regimes.

Multiparameter estimation reveals compatibility but limits simultaneous precision.

Abstract

Standard optomechanical sensors operating in the low-temperature regime often face fundamental precision limits imposed by vacuum fluctuations. Here, we demonstrate that moving beyond conventional radiation-pressure interactions and exploiting quadratic coupling can surpass these limits, generating intrinsic squeezing and non-Gaussian features in the probe state. We study quantum thermometry and magnetometry in a coupled two-resonator system, focusing on the estimation of a thermal bath temperature and an external magnetic field. The resonators are assumed to be in thermal equilibrium with a common bath, while a weak magnetic field acts on one of the resonators. We perform measurements on a single resonator, which serves as the probe for estimating both parameters. We compute the quantum Fisher information of the probe for two different interaction models between the resonators. Our results show that the counter-rotating terms in the quadratic interaction naturally induce squeezing at intermediate coupling and strong non-Gaussian correlations as the coupling increases further. These effects yield orders-of-magnitude enhancement in sensitivity in the low-temperature and weak-field regimes compared to standard radiation-pressure couplings. Finally, we investigate multiparameter estimation and find that, although the optimal measurements remain compatible, statistical correlations between parameters prevent the simultaneous estimation of temperature and magnetic field from attaining single-parameter precision.