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,Fabio Sciarrino

2023 Conference on Lasers and Electro-Optics (CLEO)（2023）

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摘要

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.

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