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- Title
Spatial Nonlinear Conversion of Structured Light for Machine Learning Based Ultra‐Accurate Information Networks (Laser Photonics Rev. 18(6)/2024).
- Authors
Zhang, Zilong; He, Wei; Zhao, Suyi; Gao, Yuan; Wang, Xin; Li, Xiaotian; Wang, Yuqi; Ma, Yunfei; Hu, Yetong; Shen, Yijie; Zhao, Changming
- Abstract
The article "Spatial Nonlinear Conversion of Structured Light for Optical Communications" introduces Hermite-Gaussian eigenmodes and their use in information encoding schemes for optical communication networks. These schemes significantly increase channel capacity at low spatial mode order. The article demonstrates the feasibility of point-to-multipoint information transmission under large observation angles using a projection and machine learning-based method. For more information, readers can refer to the full article by Zilong Zhang, Wei He, Suyi Zhao, Yijie Shen, and their co-workers.
- Subjects
MACHINE learning; INFORMATION networks; LASERS; TELECOMMUNICATION systems
- Publication
Laser & Photonics Reviews, 2024, Vol 18, Issue 6, p1
- ISSN
1863-8880
- Publication type
Article
- DOI
10.1002/lpor.202470039