103 citations · 290 across the 12 of their papers we have counts for
4 papers · 1 filter
Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach
Marina Zajnulina, Alessandro Lupo, Serge Massar
We provide a theoretical, numerical, and experimental investigation of the Kerr nonlinearity impact on the performance of a frequency-multiplexed Extreme Learning Machine (ELM). In…
Deep Photonic Reservoir Computer for Speech Recognition
Enrico Picco, Alessandro Lupo, Serge Massar
Speech recognition is a critical task in the field of artificial intelligence and has witnessed remarkable advancements thanks to large and complex neural networks, whose training…
Symplectic lattice gauge theories on Grid: approaching the conformal window
Ed Bennett, Peter A. Boyle, Luigi Del Debbio +9
Symplectic gauge theories coupled to matter fields lead to symmetry enhancement phenomena that have potential applications in such diverse contexts as composite Higgs, top partial…
Deep Photonic Reservoir Computer Based on Frequency Multiplexing with Fully Analog Connection Between Layers
Alessandro Lupo, Enrico Picco, Marina Zajnulina +1
Reservoir computers (RC) are randomized recurrent neural networks well adapted to process time series, performing tasks such as nonlinear distortion compensation or prediction of c…