Multi-wavelength optical information processing with deep reinforcement learning
Abstract Multi-wavelength optical information processing systems are commonly utilized in optical neural networks and broadband signal processing. However, their effectiveness is often compromised by frequency-selective responses caused by fabrication, transmission, and environmental factors. To mit...
Saved in:
| Main Authors: | Qiuquan Yan, Hao Ouyang, Zilong Tao, Meili Shen, Shiyin Du, Jun Zhang, Hengzhu Liu, Hao Hao, Tian Jiang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2025-04-01
|
| Series: | Light: Science & Applications |
| Online Access: | https://doi.org/10.1038/s41377-025-01846-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On-Chip Photonic Convolutional Processing Lights Up Fourier Neural Operator
by: Zilong Tao, et al.
Published: (2025-03-01) -
Optical multi-wavelength selectors based on distributed feedback chirped grating in arrays of graphene
by: Aimei Liu, et al.
Published: (2025-08-01) -
Optical Behavior Analysis of Negative Wavelength Detuning in SMFP-LD and Its Effect on Multi-RF Generation
by: Hao Chen, et al.
Published: (2019-01-01) -
Multi-Wavelength SOA Fiber Laser With Ultra-Narrow Wavelength Spacing Based on NPR Effect
by: Xuefang Zhou, et al.
Published: (2020-01-01) -
Broadband Optical Frequency Comb Generation With Flexible Frequency Spacing and Center Wavelength
by: Siyuan Yu, et al.
Published: (2018-01-01)