Nicola Calabretta

Error analysis of a 3-Layer SOA-based photonic deep neural network for image classification

2019 · TU/e Research Portal

We demonstrate Iris flower classification with a trained 3-layer photonic deep neural network, which is implemented by a monolithically integrated SOA-based InP cross-connect chip, achieving a final accuracy of 85.8%. An in-depth analysis of the …

Large-Scale Photonic Integrated Cross-Connects for Optical Communication and Computation

2020

An 8×8 InP cross-connect chip for optical switching within ROADMs is employed for demonstrating optical feed-forward neural networks for analog data processing. An all-optical approach is also explored for deeper optical neuromorphic computing on chip.

Photonic networks with nanoseconds switching and control for distributed machine learning systems

2023

To flexibly accommodate diverse cloud workloads and AI applications, a novel disaggregated DCN architecture based on photonic integrated switches prototype with low latency and high bandwidth to interconnect computing and memory nodes is presented.