Detection techniques for orbital angular momentum states

Alessia Suprano, Taira Giordani, Emanuele Polino, Danilo Zia, Nicolo Spagnolo, Fabio Sciarrino, Luca Innocenti, Alessandro Ferraro, Mauro Paternostro

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We experimentally demonstrate a machine-learning-based protocol to char-acterize orbital angular momentum states. Moreover, a more accurate formalization of the state engineering process allows increasing both its performance and that of a quantum state discrimination process.

Original languageEnglish
Title of host publication2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580910
ISBN (Print)9781665447928
Publication statusPublished - 29 Oct 2021
Event2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
Duration: 09 May 202114 May 2021

Publication series

NameConference on Lasers and Electro-Optics, CLEO- Proceedings


Conference2021 Conference on Lasers and Electro-Optics, CLEO 2021
Country/TerritoryUnited States
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2021 OSA.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics


Dive into the research topics of 'Detection techniques for orbital angular momentum states'. Together they form a unique fingerprint.

Cite this