Cited by 6Quantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Fisher-information susceptibility for multiparameter quantum estimation

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Albarelli, Francesco, Gianani, Ilaria, Genoni, Marco G., Barbieri, Marco·2024·Physical Review A

Abstract

Noise affects the performance of quantum technologies, hence the importance of elaborating operative figures of merit that can capture its impact in exact terms. In quantum metrology, the introduction of the Fisher-information measurement noise susceptibility now allows one to quantify the robustness of measurement for single-parameter estimation. Here we extend this notion to the multiparameter quantum estimation scenario. We provide its mathematical definition in the form of a semidefinite program. Although a closed formula could not be found, we further derive an upper and a lower bound to the susceptibility. We then apply these techniques to two paradigmatic examples of multiparameter estimation: the joint estimation of phase and phase diffusion and the estimation of the different parameters describing the incoherent mixture of optical point sources. Our figure of merit provides clear indications on conditions allowing or hampering robustness of multiparameter measurements.

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  1. S. Kurdzialek, P. Dulian, J. Majsak, S. Chakraborty, and R. Demkowicz-Dobrzanski, Quantum metrology using quantum combs and tensor network formalism (2024), arXiv:2403.04854. · arXiv
  2. M. Hayashi and Y. Ouyang, Channel version of Cramér- Rao type bounds for multiparameter quantum metrology through conic programming (2024), arXiv:2401.05886. · arXiv
  3. S. M. Kay, Fundamentals of Statistical Signal Process- ing, Volume I: Estimation Theory, Prentice Hall Signal Processing Series (Prentice-Hall PTR, Englewood Cliffs, N.J, 1993).
  4. S. Diamond and S. Boyd, CVXPY: A Python-Embedded Modeling Language for Convex Optimization, J. Mach. Learn. Res. 17, 1 (2016).

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Authors
Albarelli, F., Gianani, I., Genoni, M. G., & Barbieri, M.
Affiliations
  • Scuola Normale Superiore (IT)
  • Roma Tre University (IT)
  • University of Milan (IT)
Venue
Physical Review A
Published
2024-09-26
Volume
110
Issue
3
ISSN
  • 0556-2791 (ISSN-L)
  • 2469-9926
  • 2469-9934
OpenAlex
W4402861655
Cited by
6
References
64
Citations by year
2026: 3 · 2025: 3
FWCI
0.89
Type
journal article
Language
en
Open access
Locations
  • Physical Review A (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
  • Scuola Normale Superiore di Pisa (submittedVersion, other-oa)
  • arXiv (Cornell University)
Funders
  • Ministero dell'Università e della Ricerca (PRIN22-RISQUE-2022T25TR3)
  • H2020 Marie Skłodowska-Curie Actions (101068347)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
Keywords
Fisher information, multiparameter quantum estimation, quantum metrology, semidefinite programming, figure of merit

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