6 papers
Experimental Investigation of Time Series Classification using a Self-Pulsing Microring Resonator Network
Alessandro Foradori, Alessio Lugnan, Lorenzo Pavesi +1
Photonic neuromorphic computing offers compelling advantages in power efficiency and parallel processing, but often falls short in realizing scalable nonlinearity and long-term mem…
LuxIA: A Lightweight Unitary matriX-based Framework Built on an Iterative Algorithm for Photonic Neural Network Training
Tzamn Melendez Carmona, Federico Marchesin, Marco P. Abrate +3
PNNs present promising opportunities for accelerating machine learning by leveraging the unique benefits of photonic circuits. However, current state of the art PNN simulation tool…
Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components
Federico Marchesin, MatÄj Hejda, Tzamn Melendez Carmona +5
Matrix-vector multiplications (MVMs) are essential for a wide range of applications, particularly in modern machine learning and quantum computing. In photonics, there is growing i…
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…
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…
The Taiji microresonator as an unidirectional spiking neuron
Stefano Biasi, Alessandro Foradori, Riccardo Franchi +3
While biological neurons ensure unidirectional signalling, scalable integrated photonic neurons, such as silicon microresonators, respond the same way regardless of excitation dire…