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True precision limits in quantum metrology
by
Jarzyna, Marcin
, Demkowicz-Dobrza ski, Rafa
in
03.65.Ta
/ 06.20.Dk
/ Asymptotic properties
/ Bayesian analysis
/ Bayesian techniqes
/ Breaking down
/ Equivalence
/ Figure of merit
/ Fisher information
/ Fluctuation
/ Mathematical analysis
/ Metrology
/ Parameter estimation
/ Physics
/ Proposals
/ quantum metrology
/ Variation
2015
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True precision limits in quantum metrology
by
Jarzyna, Marcin
, Demkowicz-Dobrza ski, Rafa
in
03.65.Ta
/ 06.20.Dk
/ Asymptotic properties
/ Bayesian analysis
/ Bayesian techniqes
/ Breaking down
/ Equivalence
/ Figure of merit
/ Fisher information
/ Fluctuation
/ Mathematical analysis
/ Metrology
/ Parameter estimation
/ Physics
/ Proposals
/ quantum metrology
/ Variation
2015
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Do you wish to request the book?
True precision limits in quantum metrology
by
Jarzyna, Marcin
, Demkowicz-Dobrza ski, Rafa
in
03.65.Ta
/ 06.20.Dk
/ Asymptotic properties
/ Bayesian analysis
/ Bayesian techniqes
/ Breaking down
/ Equivalence
/ Figure of merit
/ Fisher information
/ Fluctuation
/ Mathematical analysis
/ Metrology
/ Parameter estimation
/ Physics
/ Proposals
/ quantum metrology
/ Variation
2015
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Journal Article
True precision limits in quantum metrology
2015
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Overview
We show that quantification of the performance of quantum-enhanced measurement schemes based on the concept of quantum Fisher information (QFI) yields results that are asymptotically equivalent to those from the rigorous Bayesian approach, provided generic uncorrelated noise is present in the setup. At the same time, we show that for the problem of decoherence-free phase estimation this equivalence breaks down, and the achievable estimation uncertainty calculated within the Bayesian approach is larger by a factor of than that predicted from the QFI even in the large prior knowledge (small parameter fluctuation) regime, where the QFI is conventionally regarded as a reliable figure of merit. We conjecture that an analogous discrepancy is present in the arbitrary decoherence-free unitary parameter estimation scheme, and propose a general formula for the asymptotically achievable precision limit. We also discuss protocols utilizing states with an indefinite number of particles, and show that within the Bayesian approach it is legitimate to replace the number of particles with the mean number of particles in the formulas for the asymptotic precision, which as a consequence provides another argument for proposals based on the properties of the QFI of indefinite particle number states leading to sub-Heisenberg precisions not being practically feasible.
Publisher
IOP Publishing
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