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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Bibliographic Details
Published in:	Nanophotonics (Berlin, Germany) Vol. 12; no. 15; pp. 3165 - 3177
Main Authors:	Hou, Mengdie, Xu, Mengjun, Xu, Jiangtao, Lu, Jiafeng, An, Yi, Huang, Liangjin, Zeng, Xianglong, Pang, Fufei, Li, Jun, Yi, Lilin
Format:	Journal Article
Language:	English
Published:	Germany De Gruyter 20.07.2023 Walter de Gruyter GmbH
Subjects:	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
Online Access:	Get full text
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