Presentation Information

[TuG3-1]Simple Machine Learning Using Multi-Port Optical Directional Couplers: Comparing Coherent and Non-Coherent Approaches

○Yushan Hu1, Keigo Takabayashi1, Ryota Nakayama1, Satoshi Sunada1, Takeo Maruyama1 (1. Kanazawa University (Japan))

Keywords:

Deep learning for photonic device and applications,Photonics in neuromorphic computing and machine learning devices

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.

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