18 citations · 45 across the 7 of their papers we have counts for
9 papers
Fading Memory and Nonlinear Dynamics in a Microring Resonator Network and their Use in Computation
Alessandro Foradori, Alessio Lugnan, Lorenzo Pavesi +1
Silicon microring resonators are promising components for photonic reservoir computing because their nonlinear optical response can transform signals and retain information about r…
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…
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…
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…
Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components
Federico Marchesin, Matěj 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…
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…
Invited: Neuromorphic architectures based on augmented silicon photonics platforms
Matěj Hejda, Federico Marchesin, George Papadimitriou +6
In this work, we discuss our vision for neuromorphic accelerators based on integrated photonics within the framework of the Horizon Europe NEUROPULS project. Augmented integrated p…
Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff-Plückelmann +4
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn,…