
From combinatorial optimization algorithms to artificial neural networks (NN), modern digital computers have undergone incredible development in recent decades. Yet, they struggle to keep up with the growing trend of high-density applications. Artificial intelligence, in particular machine learning, requires the ability to process increasingly large and complex quantities of data. One of the biggest obstacles […]

Title: Large-scale photonic computing with nonlinear disordered media Authors: Hao Wang, Jianqi Hu, Andrea Morandi, Alfonso Nardi, Fei Xia, Xuanchen Li, Romolo Savo, Qiang Liu, Rachel Grange & Sylvain Gigan published in Nature Computational Science (2024) Cite this article Abstract Neural networks find widespread use in scientific and technological applications, yet their implementations in conventional computers have encountered bottlenecks due to ever-expanding computational needs. Photonic computing is […]

Comp – SECOONDO Computational Second-order Nano-oxides Nonlinear Disordered Photonics Principal Investigator : Romolo Savo (CREF) Code: MSCA_000007 The project aims at using light and photonic materials to implement an analogue deep-learning neural network architecture. Photonic disorder and second-order optical nonlinearity will be the key features to developing a photonic platform with enhanced computing capability and […]

the research The project aims to develop new photonic systems to create innovative optical computing machines that can overcome the limitations of traditional computing architectures. The experimental work explores the use of laser light and its interaction with complex photonic media to accelerate the solution of combinatorial optimization problems and to implement hybrid electronic and […]