Recent developments in integrated photonics technology are opening the way to the fabrication of complex linear optical interferometers. The application of this platform is ubiquitous in quantum information science, from quantum simulation to quantum metrology, including the quest for quantum supremacy via the boson sampling problem. Within these contexts, the capability to learn efficiently the unitary operation of the implemented interferometers becomes a crucial requirement. In this letter we develop a reconstruction algorithm based on a genetic approach, which can be adopted as a tool to characterize an unknown linear optical network. We report an experimental test of the described method by performing the reconstruction of a 7-mode interferometer implemented via the femtosecond laser writing technique. Further applications of genetic approaches can be found in other contexts, such as quantum metrology or learning unknown general Hamiltonian evolutions. © 2017 The Author(s).

Learning an unknown transformation via a genetic approach / Spagnolo, Nicolò; Maiorino, Enrico; Vitelli, Chiara; Bentivegna, Marco; Crespi, Andrea; Ramponi, Roberta; Mataloni, Paolo; Osellame, Roberto; Sciarrino, Fabio. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 7:1(2017), p. 14316. [10.1038/s41598-017-14680-7]

Learning an unknown transformation via a genetic approach

Spagnolo, Nicolò
;
Maiorino, Enrico;Vitelli, Chiara;Bentivegna, Marco;Mataloni, Paolo;Sciarrino, Fabio
2017

Abstract

Recent developments in integrated photonics technology are opening the way to the fabrication of complex linear optical interferometers. The application of this platform is ubiquitous in quantum information science, from quantum simulation to quantum metrology, including the quest for quantum supremacy via the boson sampling problem. Within these contexts, the capability to learn efficiently the unitary operation of the implemented interferometers becomes a crucial requirement. In this letter we develop a reconstruction algorithm based on a genetic approach, which can be adopted as a tool to characterize an unknown linear optical network. We report an experimental test of the described method by performing the reconstruction of a 7-mode interferometer implemented via the femtosecond laser writing technique. Further applications of genetic approaches can be found in other contexts, such as quantum metrology or learning unknown general Hamiltonian evolutions. © 2017 The Author(s).
File allegati a questo prodotto
File Dimensione Formato  
Spagnolo_Learning_2016.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 3.18 MB
Formato Adobe PDF
3.18 MB Adobe PDF Visualizza/Apri PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11573/1020794
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 17
  • ???jsp.display-item.citation.isi??? 17
social impact