Optimal function estimation with photonic quantum sensor networks

Bibliographic Details
Title: Optimal function estimation with photonic quantum sensor networks
Authors: Bringewatt, Jacob, Ehrenberg, Adam, Goel, Tarushii, Gorshkov, Alexey V.
Source: Phys. Rev. Research 6, 013246 (2024)
Publication Year: 2024
Collection: Quantum Physics
Subject Terms: Quantum Physics
More Details: The problem of optimally measuring an analytic function of unknown local parameters each linearly coupled to a qubit sensor is well understood, with applications ranging from field interpolation to noise characterization. Here, we resolve a number of open questions that arise when extending this framework to Mach-Zehnder interferometers and quadrature displacement sensing. In particular, we derive lower bounds on the achievable mean square error in estimating a linear function of either local phase shifts or quadrature displacements. In the case of local phase shifts, these results prove, and somewhat generalize, a conjecture by Proctor et al. [arXiv:1702.04271 (2017)]. For quadrature displacements, we extend proofs of lower bounds to the case of arbitrary linear functions. We provide optimal protocols achieving these bounds up to small (multiplicative) constants and describe an algebraic approach to deriving new optimal protocols, possibly subject to additional constraints. Using this approach, we prove necessary conditions for the amount of entanglement needed for any optimal protocol for both local phase and displacement sensing.
Comment: 20 pages
Document Type: Working Paper
DOI: 10.1103/PhysRevResearch.6.013246
Access URL: http://arxiv.org/abs/2401.16472
Accession Number: edsarx.2401.16472
Database: arXiv
More Details
DOI:10.1103/PhysRevResearch.6.013246