Multiparameter estimation perspective on non-Hermitian singularity-enhanced sensing

• URL: http://arxiv.org/abs/2303.05532v3
• Date: Fri, 20 Oct 2023 13:00:59 GMT
• Title: Multiparameter estimation perspective on non-Hermitian singularity-enhanced sensing
• Authors: Javid Naikoo and Ravindra W. Chhajlany and Jan Kolodynski
• Abstract summary: We study the possibility of achieving unbounded sensitivity when using the system to sense linear singularity perturbations away from a singular point. We identify under what conditions and at what rate can the resulting sensitivity indeed diverge, in order to show that nuisance parameters should be generally included in the analysis.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Describing the evolution of quantum systems by means of non-Hermitian generators opens a new avenue to explore the dynamical properties naturally emerging in such a picture, e.g. operation at the so-called exceptional points, preservation of parity-time symmetry, or capitalising on the singular behaviour of the dynamics. In this work, we focus on the possibility of achieving unbounded sensitivity when using the system to sense linear perturbations away from a singular point. By combining multiparameter estimation theory of Gaussian quantum systems with the one of singular-matrix perturbations, we introduce the necessary tools to study the ultimate limits on the precision attained by such singularity-tuned sensors. We identify under what conditions and at what rate can the resulting sensitivity indeed diverge, in order to show that nuisance parameters should be generally included in the analysis, as their presence may alter the scaling of the error with the estimated parameter.

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