Publication: Optical neural networks with arbitrary and wideband photonic functionality
Program
KU Authors
Co-Authors
Advisor
Publication Date
2022
Language
English
Type
Conference proceeding
Journal Title
Journal ISSN
Volume Title
Abstract
We demonstrate a highly scalable silicon photonic neural network architecture enabling arbitrarily complex, on-chip optical functionality. We use this architecture to demonstrate wideband power splitters, achieving near-lossless and flat-top transmission bands.
Description
Source:
Optics InfoBase Conference Papers
Publisher:
Optica Publishing Group
Keywords:
Subject
Electrical electronic engineering, Optics, Physics