Deep learning–based vortex decomposition and switching based on fiber vector eigenmodes

Structured optical fields, such as cylindrical vector (CV) and orbital angular momentum (OAM) modes, have attracted considerable attention due to their polarization singularities and helical phase wavefront structure. However, one of the most critical challenges is still the intelligent generation o...

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Vydané v:	Nanophotonics (Berlin, Germany) Ročník 12; číslo 15; s. 3165 - 3177
Hlavní autori:	Hou, Mengdie, Xu, Mengjun, Xu, Jiangtao, Lu, Jiafeng, An, Yi, Huang, Liangjin, Zeng, Xianglong, Pang, Fufei, Li, Jun, Yi, Lilin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Germany De Gruyter 20.07.2023 Walter de Gruyter GmbH
Predmet:	Algorithms Angular momentum Circular polarization Decomposition Deep learning Image reconstruction mode decomposition Quantum computing Switching vector eigenmodes vortex switching Wave fronts Wave plates deep learning mode decomposition vortex switching vector eigenmodes
ISSN:	2192-8614, 2192-8606, 2192-8614
On-line prístup:	Získať plný text
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