Neuromorphic photonics for real-time applications
Paul R. Prucnal, Thomas Ferreira de Lima · 2020
This presentation will discuss demonstrations of real-time operation of photonic neural networks going beyond machine learning applications. It contains a review of how a wavelength-based neuron can be implemented using silicon photonics. We discuss three application examples: principal component analysis for blind source separation, fiber nonlinearity compensation in long-haul communication systems and ODE system solving in real-time.