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20232026
most citedPhotonic neural networks based on integrated silicon microresonators

61 citations · 97 across the 6 of their papers we have counts for

collaborators

6 papers

physics.optics2026

Memory in Integrated Photonic Neural Networks: From Physical Mechanisms to Neuromorphic Architectures

Alessandro Foradori, Ilya Auslender, Stefano Biasi +4

The rapid scaling of artificial neural networks has exposed fundamental limitations of conventional von Neumann computing architectures. In these systems, the physical separation b…

physics.optics2025★ 2 cited

Nonlinear Distortion Equalization in Multi-Span Optical Links Via a Feed-Forward Photonic Neural Network

Emiliano Staffoli, Elisabetta Ferri, Stefano Gretter +1

Linear and nonlinear distortions in optical communication signals are equalized using an integrated feed-forward Photonic Neural Network (PNN). The PNN is based on a linear stage m…

cs.ET2024★ 7 cited

A Silicon Photonic Neural Network for Chromatic Dispersion Compensation in 20 Gbps PAM4 Signal at 125 km and Its Scalability up to 100 Gbps

Emiliano Staffoli, Gianpietro Maddinelli, Lorenzo Pavesi

A feed-forward photonic neural network (PNN) is tested for chromatic dispersion compensation in Intensity Modulation/Direct Detection optical links. The PNN is based on a sequence…

physics.optics2023★ 61 cited

Photonic neural networks based on integrated silicon microresonators

Stefano Biasi, Giovanni Donati, Alessio Lugnan +3

The recent progress of artificial intelligence (AI) has boosted the computational possibilities in fields where standard computers are not able to perform. The AI paradigm is to em…

cs.ET2023★ 1 cited

Nonlinear response of Silicon Photonics microresonators for reservoir computing neural network

Emiliano Staffoli, Davide Bazzanella, Stefano Biasi +4

Nowadays, Information Photonics is extensively studied and sees applications in many fields. The interest in this breakthrough technology is mainly stimulated by the possibility of…

cs.ET2023★ 26 cited

Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network

Emiliano Staffoli, Mattia Mancinelli, Paolo Bettotti +1

A small 4-channels time-delayed complex perceptron is used as a silicon photonics neural network (NN) device to compensate for chromatic dispersion in optical fiber links. The NN d…