Simple Machine Learning Using Multi-Port Optical Directional Couplers: Comparing Coherent and Non-Coherent Approaches
Optical neural networks are emerging as structures with potential for artificial intelligence. We describe a multi-port directional coupler architecture and demonstrate its application for classification tasks, achieving different accuracies across different experimental conditions.
Authors
- Satoshi Sunada (ORCID: https://orcid.org/0000-0003-0466-8529)
- K. Takabayashi
- Takeo Maruyama
- Yushan Hu
- Ryota Nakayama
Institutions
- Kanazawa University (JP)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11111010
- Primary Topic
- Photonic and Optical Devices
- Type
- article
- Field-Weighted Citation Impact
- 0.00