activity
20242026
collaborators

7 papers

physics.optics2026

Self-Pulsing Microring Resonator Networks for Bandwidth-Efficient Event Detection in an Optical Fiber Sensor

Alessio Lugnan, Yonas Seifu Muanenda, Ilya Auslender +4

The native processing of time-dependent signals from optical sensors by integrated photonic circuits can potentially bring significant advantages in terms of energy consumption, la…

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.optics2026

On-Chip Interferometric Excitation of an Infinity-Loop Microresonator

Davide Olivieri, Bülent Aslan, Stefano Biasi +2

Integrated photonics is a powerful platform for exploring Hermitian and non-Hermitian physics. Beyond device geometry, controlling how resonators are driven is crucial to access an…

physics.optics2026

Photonic neuromorphic processing with coupled spiking silicon microrings

Giovanni Donati, Stefano Biasi, Lorenzo Pavesi +1

Understanding the physical computing mechanisms of individual network nodes is essential for scaling neuromorphic photonic architectures. This work proposes a compact passive nonli…

cs.ET2025

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…

physics.optics2024

Reservoir computing with all-optical non-fading memory in a self-pulsing microresonator network

Alessio Lugnan, Stefano Biasi, Alessandro Foradori +2

Photonic neuromorphic computing may offer promising applications for a broad range of photonic sensors, including optical fiber sensors, to enhance their functionality while avoidi…