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Conferences > CLEO_FS > 2023 > FM4A > FM4A.3

Regression Approach for the Reconstruction of Orbital Angular Momentum States

Danilo Zia, Riccardo Checchinato, Alessia Suprano, Taira Giordani, Emanuele Polino, Luca Innocenti, Alessandro Ferraro, Mauro Paternostro, Nicolò Spagnolo, and Fabio Sciarrino

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Abstract

We addressed the problem of decoding the information stored in Orbital Angular Momentum endowed beams with a machine-learning approach, extracting the coefficients of arbitrary superpositions via the combined use of dimensional reduction and regression algorithms.

© 2023 The Author(s)

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