Measurement compatibility in multiparameter quantum interferometry
Jayanth Jayakumar, Marco Barbieri, Magdalena Stobińska
TL;DR
The paper addresses the challenge of compatibility in multiparameter quantum metrology by analyzing joint estimation of a phase with nuisance parameters (loss and phase diffusion) in a Mach-Zehnder interferometer using HB and gHB states. It introduces and evaluates practical compatibility figures of merit based on the Holevo bound, quantum CRB, and NHCRB for double-homodyne and photon-counting measurements, highlighting how parameter weighting via a diagonal weight matrix $W(y)$ shapes compatibility. Key findings show strong intrinsic incompatibility between phase and loss (and weaker between phase and diffusion), with measurement compatibility strongly influenced by the measurement choice, probe state, and the loss level; photon counting generally yields better compatibility than double homodyne in these multiparameter scenarios, and low loss improves compatibility overall. The work provides practical guidance for designing quantum sensors by focusing on compatibility as a distinct performance metric, offering insights into when separable measurements can closely approach fundamental bounds and how to choose weights to optimize joint estimation in realistic settings.
Abstract
The Cramér-Rao bound captures completely the performance of single-parameter quantum sensors. On the other hand, its extension to multiple parameters demands more caution. Different aspects need to be captured at once, including, critically, compatibility. In this article we consider compatibility in quantum interferometry for an important class of probe states, measured by double homodyne or photon counters, standard benchmarks for these applications. We include the presence of loss and phase diffusion in the estimation of a phase. Our results illustrate how different weighting of the precision on individual parameters affects their compatibility, adding to the list of considerations for quantum multiparameter estimation.
