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

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

School of Mathematics and Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 language	English
Title of host publication	2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580910
ISBN (Print)	9781665447928
Publication status	Published - 29 Oct 2021
Event	2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States Duration: 09 May 2021 → 14 May 2021

Publication series

Name	Conference on Lasers and Electro-Optics, CLEO- Proceedings

Conference

Conference	2021 Conference on Lasers and Electro-Optics, CLEO 2021
Country/Territory	United States
City	Virtual, Online
Period	09/05/2021 → 14/05/2021

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

Access to Document

https://ieeexplore.ieee.org/document/9572506Licence: Unspecified

Cite this

Suprano, A., Giordani, T., Polino, E., Zia, D., Spagnolo, N., Sciarrino, F., Innocenti, L., Ferraro, A., & Paternostro, M. (2021). Detection techniques for orbital angular momentum states. In 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings (Conference on Lasers and Electro-Optics, CLEO- Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://ieeexplore.ieee.org/document/9572506

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title = "Detection techniques for orbital angular momentum states",

abstract = "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.",

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

note = "Publisher Copyright: {\textcopyright} 2021 OSA.; 2021 Conference on Lasers and Electro-Optics, CLEO 2021 ; Conference date: 09-05-2021 Through 14-05-2021",

year = "2021",

month = oct,

day = "29",

language = "English",

isbn = "9781665447928",

series = "Conference on Lasers and Electro-Optics, CLEO- Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings",

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Suprano, A, Giordani, T, Polino, E, Zia, D, Spagnolo, N, Sciarrino, F, Innocenti, L, Ferraro, A & Paternostro, M 2021, Detection techniques for orbital angular momentum states. in 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings. Conference on Lasers and Electro-Optics, CLEO- Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 Conference on Lasers and Electro-Optics, CLEO 2021, Virtual, Online, United States, 09/05/2021. <https://ieeexplore.ieee.org/document/9572506>

Detection techniques for orbital angular momentum states. / Suprano, Alessia; Giordani, Taira; Polino, Emanuele et al.
2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (Conference on Lasers and Electro-Optics, CLEO- Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Detection techniques for orbital angular momentum states

AU - Suprano, Alessia

AU - Giordani, Taira

AU - Polino, Emanuele

AU - Zia, Danilo

AU - Spagnolo, Nicolo

AU - Sciarrino, Fabio

AU - Innocenti, Luca

AU - Ferraro, Alessandro

AU - Paternostro, Mauro

PY - 2021/10/29

Y1 - 2021/10/29

N2 - 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.

AB - 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.

M3 - Conference contribution

AN - SCOPUS:85120489749

SN - 9781665447928

T3 - Conference on Lasers and Electro-Optics, CLEO- Proceedings

BT - 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 Conference on Lasers and Electro-Optics, CLEO 2021

Y2 - 9 May 2021 through 14 May 2021

ER -

Detection techniques for orbital angular momentum states

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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