Abstract
The efficient sensing of weak environmental perturbations via special degeneracies called exceptional points in non-Hermitian systems has attracted enormous attention in the last few decades. However, in contrast to the extensive literature on parity-time (PT) symmetric systems, the exotic hallmarks of anti-PT symmetric systems are only beginning to be realized now. Very recently, a characteristic resonance of vanishing linewidth in anti-PT symmetric systems was shown to exhibit tremendous sensitivity to intrinsic nonlinearities. Given the primacy of sensing in non-Hermitian systems, in general, and the immense topicality of anti-PT symmetry, we investigate the statistical bound to the measurement sensitivity for any arbitrary perturbation in a dissipatively coupled, anti-PT symmetric system. Using the framework of quantum Fisher information and the long-time solution to the full master equation, we analytically compute the Cram\'er-Rao bound for the system properties such as the detunings and the couplings. As an illustrative example of this formulation, we inspect and reaffirm the role of a long-lived resonance in dissipatively interacting systems for sensing applications.
Highlights
The Hamiltonian of a physical system characterizes its energy spectrum and time evolution, and is of fundamental importance in quantum theory
We have offered an information-theoretic insight into the subject of sensing in anti-PT symmetric systems where the coupling between the participating modes is produced by a common vacuum
We invoked the Fisher information theory as a statistical tool to circumscribe the theoretical precision of a single-parameter measurement in terms of the Cramér-Rao bound, which serves as a well-rounded metric for the sensitivity
Summary
The Hamiltonian of a physical system characterizes its energy spectrum and time evolution, and is of fundamental importance in quantum theory. We report the exact precision bound to parameter estimation in anti-PT symmetric systems and thereby provide an overarching statistical framework for the sensing of weak perturbative effects.
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