Compatibility in multiparameter quantum metrology

Sammy Ragy, Marcin Jarzyna, and Rafał Demkowicz-Dobrzański
Phys. Rev. A 94, 052108 – Published 10 November 2016; Erratum Phys. Rev. A 99, 029905 (2019)

Abstract

Simultaneous estimation of multiple parameters in quantum metrological models is complicated by factors relating to the (i) existence of a single probe state allowing for optimal sensitivity for all parameters of interest, (ii) existence of a single measurement optimally extracting information from the probe state on all the parameters, and (iii) statistical independence of the estimated parameters. We consider the situation when these concerns present no obstacle, and for every estimated parameter the variance obtained in the multiparameter scheme is equal to that of an optimal scheme for that parameter alone, assuming all other parameters are perfectly known. We call such models compatible. In establishing a rigorous theoretical framework for investigating compatibility, we clarify some ambiguities and inconsistencies present in the literature and discuss several examples to highlight interesting features of unitary and nonunitary parameter estimation, as well as deriving new bounds for physical problems of interest, such as the simultaneous estimation of phase and local dephasing.

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  • Received 8 August 2016

DOI:https://doi.org/10.1103/PhysRevA.94.052108

©2016 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Quantum Information, Science & Technology

Erratum

Erratum: Compatibility in multiparameter quantum metrology [Phys. Rev. A 94, 052108 (2016)]

Sammy Ragy, Marcin Jarzyna, and Rafał  Demkowicz-Dobrzański
Phys. Rev. A 99, 029905 (2019)

Authors & Affiliations

Sammy Ragy1,*, Marcin Jarzyna2, and Rafał Demkowicz-Dobrzański2

  • 1Department of Mathematics, University of York, Heslington, York YO10 5DD, United Kingdom
  • 2Faculty of Physics, University of Warsaw, ul. Pasteura 5, 02-093 Warszawa, Poland

  • *sammy.ragy@york.ac.uk

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Issue

Vol. 94, Iss. 5 — November 2016

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