Machine Learning-Based Classification of Vector Vortex Beams

Structured light is attracting significant attention for its diverse applications in both classical and quantum optics. The so-called vector vortex beams display peculiar properties in both contexts due to the nontrivial correlations between optical polarization and orbital angular momentum. Here we...

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Veröffentlicht in:	Physical review letters 2020-04, Vol.124 (16), p.160401-160401, Article 160401
Hauptverfasser:	Giordani, Taira, Suprano, Alessia, Polino, Emanuele, Acanfora, Francesca, Innocenti, Luca, Ferraro, Alessandro, Paternostro, Mauro, Spagnolo, Nicolò, Sciarrino, Fabio
Format:	Artikel
Sprache:	eng
Schlagworte:	Angular momentum Artificial neural networks Classification Electron beams Machine learning Optical polarization Optical properties Photon beams Principal components analysis Quantum optics Vortices
Online-Zugang:	Volltext
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