Implementation and Scaling of an Optical Computing Unit Based on Transient Nonlinear Dynamics

We build and use a neuromorphic wave computer established on soliton-based spectral broadening. Featuring low-power consumption, robustness, and scalability, our approach enables the emulation of a variety of neural networks using a single system setting, opening the way to opportunities in sustainable photonic computing and machine learning applications.