Optimal function estimation with photonic quantum sensor networks

Fuente: arXiv
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Autores principales: Bringewatt, Jacob, Ehrenberg, Adam, Goel, Tarushii, Gorshkov, Alexey V.
Formato: Preprint
Publicado: 2024
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author Bringewatt, Jacob
Ehrenberg, Adam
Goel, Tarushii
Gorshkov, Alexey V.
author_facet Bringewatt, Jacob
Ehrenberg, Adam
Goel, Tarushii
Gorshkov, Alexey V.
contents 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.
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id arxiv_https___arxiv_org_abs_2401_16472
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal function estimation with photonic quantum sensor networks
Bringewatt, Jacob
Ehrenberg, Adam
Goel, Tarushii
Gorshkov, Alexey V.
Quantum Physics
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.
title Optimal function estimation with photonic quantum sensor networks
topic Quantum Physics
url https://arxiv.org/abs/2401.16472