3 papers
physics.optics2026
Optical Implementation of Equilibrium Propagation Using Spatial Photonic Ising Machines
Dimitri Vanden Abeele, Daniele Veraldi, Davide Pierangeli +2
Equilibrium Propagation offers a compelling alternative to traditional machine learning for training energy-based networks. Here we demonstrate a hybrid optical-digital implementat…
quant-ph2026
Ising selector machine by Kerr parametric oscillators
Jacopo Tosca, Cristiano Ciuti, Claudio Conti +1
Ising machines are physical platforms designed to minimize the energy of classical Ising Hamiltonians, yet accessing specific excited states remains an open challenge of both funda…
physics.optics2025
Analyzing partially-polarized light with a photonic deep random neural network
Alessandro Petrini, Claudio Conti, Davide Pierangeli
Optical neural networks are emerging as a powerful and versatile tool for processing optical signals directly in the optical domain with superior speed, integrability, and function…