Chip-Scale Diffractive Neural Networks Enable Demultiplexing in Multimode Fiber
Analysis
This ArXiv article presents a novel approach to demultiplexing signals within multimode fibers using chip-scale diffractive neural networks. The research has the potential to improve data transmission speeds and efficiency in optical communication systems.
Key Takeaways
- •The research utilizes chip-scale diffractive neural networks.
- •The method enables demultiplexing in multimode fibers.
- •Potential for faster and more efficient optical communication.
Reference
“Demultiplexing through a multimode fiber using chip-scale diffractive neural networks”