Optical neuromorphic systems promise significant advantages in terms of bandwidth, power efficiency, and speed. Here, authors demonstrate how networks of spiking photonic crystal nanolasers can be trained to perform Bayesian inference through sampling from multivariate probability distributions.
- Ivan K. Boikov
- Alfredo de Rossi
- Mihai A. Petrovici
