Universal Neuromorphic Computing with Linear Photonic Circuits

Photonic neuromorphic computing enables highspeed processing with lower power consumption than electronic neural computing. We propose leveraging data re-uploading, originally developed for quantum computing, and explore its potential implementation in photonic integrated circuits for enhanced computational efficiency and scalability without nonlinear optical devices.