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

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
Main Authors: Hou Mengdie, Xu Mengjun, Xu Jiangtao, Lu Jiafeng, An Yi, Huang Liangjin, Zeng Xianglong, Pang Fufei, Li Jun, Yi Lilin
Format: Article
Language:English
Published: De Gruyter 2023-06-01
Series:Nanophotonics
Subjects:
deep learning
mode decomposition
vector eigenmodes
vortex switching
Online Access:https://doi.org/10.1515/nanoph-2023-0202

Internet

https://doi.org/10.1515/nanoph-2023-0202

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