A perspective on multiparameter quantum metrology: From theoretical tools to applications in quantum imaging

Anno: 2020

Autori: Albarelli F., Barbieri M., Genoni M. G., Gianani I.

Affiliazione autori: Univ Warsaw, Fac Phys, PL-02093 Warsaw, Poland; Univ Warwick, Dept Phys, Gibbet Hill Rd, Coventry CV4 7AL, W Midlands, England; Univ Roma Tre, Dipartimento Sci, I-00146 Rome, Italy; CNR, Ist Nazl Ottica, I-50125 Florence, Italy; Univ Milan, Quantum Technol Lab, Dipartimento Fis Aldo Pontremoli, I-20133 Milan, Italy; Sapienza Univ Roma, Dipartimento Fis, I-00185 Rome, Italy.

Abstract: The interest in a system often resides in the interplay among different parameters governing its evolution. It is thus often required to access many of them at once for a complete description. Assessing how quantum enhancement in such multiparameter estimation can be achieved depends on understanding the many subtleties that come into play: establishing solid foundations is key to delivering future technology for this task. In this article we discuss the state of the art of quantum multiparameter estimation, with a particular emphasis on its theoretical tools, on application to imaging problems, and on the possible avenues towards the next developments. (C) 2020 Elsevier B.V. All rights reserved.

Giornale/Rivista: PHYSICS LETTERS A

Volume: 384 (12)      Da Pagina: 126311-1  A: 126311-11

Maggiori informazioni: We are grateful to G. Adesso, E. Bisketzi, D. Branford, A. Datta, J. F. Friel, A. Fujiwara, S. Moreno, M. G. A. Paris, L. Pezze, L. L. Sanchez-Soto, F. Sciarrino, N. Spagnolo, AE. Steinberg, J. Suzuki, N. Treps, M. Tsang, T. Tufarelli, J.-P. Wolf and J. Yang for fruitful discussion. FA acknowledges support from EPSRC UK under the framework of the UK National Quantum Technologies Programme (EP/M013243/1) and from the National Science Center (Poland) grant No. 2016/22/E/ST2/00559. MGG acknowledges support from a Rita Levi-Montalcini fellowship of MIUR.
Parole chiavi: Quantum estimation; Quantum sensing; Quantum imaging; Superresolution imaging
DOI: 10.1016/j.physleta.2020.126311

Citazioni: 128
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2025-05-04
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