Literature DB >> 21231091

General optimality of the Heisenberg limit for quantum metrology.

Marcin Zwierz1, Carlos A Pérez-Delgado, Pieter Kok.   

Abstract

Quantum metrology promises improved sensitivity in parameter estimation over classical procedures. However, there is a debate over the question of how the sensitivity scales with the resources and the number of queries that are used in estimation procedures. Here, we reconcile the physical definition of the relevant resources used in parameter estimation with the information-theoretical scaling in terms of the query complexity of a quantum network. This leads to a completely general optimality proof of the Heisenberg limit for quantum metrology. We give an example of how our proof resolves paradoxes that suggest sensitivities beyond the Heisenberg limit, and we show that the Heisenberg limit is an information-theoretic interpretation of the Margolus-Levitin bound, rather than Heisenberg's uncertainty relation.

Entities:  

Year:  2010        PMID: 21231091     DOI: 10.1103/PhysRevLett.105.180402

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  5 in total

1.  The elusive Heisenberg limit in quantum-enhanced metrology.

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2.  Quantum metrology with parametric amplifier-based photon correlation interferometers.

Authors:  F Hudelist; Jia Kong; Cunjin Liu; Jietai Jing; Z Y Ou; Weiping Zhang
Journal:  Nat Commun       Date:  2014       Impact factor: 14.919

3.  Quantum phase estimation using path-symmetric entangled states.

Authors:  Su-Yong Lee; Chang-Woo Lee; Jaehak Lee; Hyunchul Nha
Journal:  Sci Rep       Date:  2016-07-26       Impact factor: 4.379

4.  Fundamental noisy multiparameter quantum bounds.

Authors:  Shibdas Roy
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

5.  Simultaneous estimation of multiple phases in generalised Mach-Zehnder interferometer.

Authors:  Marcin Markiewicz; Mahasweta Pandit; Wiesław Laskowski
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

  5 in total

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