Threshold for a discrete-variable sensor of quantum reservoirs

TL;DR

This paper introduces a threshold-based sensing scheme using multiple two-level systems to measure quantum reservoirs, overcoming divergence issues and enabling more accurate quantum reservoir measurements.

Contribution

It proposes a novel threshold scheme with multiple sensors that stabilizes measurement errors, addressing previous divergence problems in quantum reservoir sensing.

Findings

A threshold exists where sensing error saturates or decreases with encoding time.

Formation of a bound state explains the error stabilization.

The scheme overcomes divergence issues in quantum reservoir measurement.

Abstract

Quantum sensing employs quantum resources of a sensor to attain a smaller estimation error of physical quantities than the limit constrained by classical physics. To measure a quantum reservoir, which is significant in decoherence control, a nonunitary-encoding sensing scheme becomes necessary. However, previous studies showed that the reservoir-induced degradation to quantum resources of the sensor makes the errors divergent with the increase of encoding time. We here propose a scheme to use $N$ two-level systems as the sensor to measure a quantum reservoir. A threshold, above which the shot-noise-limited sensing error saturates or even persistently decreases with the encoding time, is uncovered. Our analysis reveals that it is due to the formation of a bound state of the total sensor-reservoir system. Solving the outstanding error-divergency problem in previous studies, our result supplies an insightful guideline in realizing a sensitive measurement of quantum reservoirs.