activity
20192024
most citedOn the extraction of spectral densities from lattice correlators

103 citations · 290 across the 12 of their papers we have counts for

collaborators

12 papers

physics.optics2024★ 1 cited

Plenoptic microscopy and photography from intensity correlations

Francesco V. Pepe, Francesco Di Lena, Augusto Garuccio +7

We present novel methods to perform plenoptic imaging at the diffraction limit by measuring intensity correlations of light. The first method is oriented towards plenoptic microsco…

physics.optics2023

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…

cs.NE2023★ 15 cited

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…

hep-lat2023★ 1 cited

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…

cs.ET2023★ 47 cited

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…

hep-lat2022★ 1 cited

Fits of finite-volume smeared spectral densities

Luigi Del Debbio, Alessandro Lupo, Marco Panero +1

Motivated by recent progress in the numerical inversion of the Laplace transform, we investigate applications of finite-volume smeared spectral densities. These include the tuning…

hep-lat2022★ 22 cited

Multi-Representation Dynamics of SU(4) Composite Higgs Models: Chiral Limit and Spectral Reconstructions

Luigi Del Debbio, Alessandro Lupo, Marco Panero +1

We present a lattice study of the gauge theory with two Dirac fermions in the fundamental and two in the two-index antisymmetric representation, a model close to a theory o…

hep-lat2021

Spectral reconstruction in SU(4) gauge theory with fermions in multiple representations

Luigi Del Debbio, Alessandro Lupo, Marco Panero +1

The naturalness problem in the Higgs sector finds a popular solution in composite Higgs models. In such theories the Higgs boson emerges as the pseudo-Nambu-Goldstone boson associa…

cs.ET2021★ 38 cited

Photonic Extreme Learning Machine based on frequency multiplexing

Alessandro Lupo, Lorenz Butschek, Serge Massar

The optical domain is a promising field for physical implementation of neural networks, due to the speed and parallelism of optics. Extreme Learning Machines (ELMs) are feed-forwar…

physics.optics2020★ 28 cited

Correlation Plenoptic Imaging between Arbitrary Planes

Francesco Di Lena, Gianlorenzo Massaro, Alessandro Lupo +3

We propose a novel method to perform plenoptic imaging at the diffraction limit by measuring second-order correlations of light between two reference planes, arbitrarily chosen, wi…

physics.optics2020★ 34 cited

Photonic reservoir computer based on frequency multiplexing

Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou +3

Reservoir computing is a brain inspired approach for information processing, well suited to analogue implementations. We report a photonic implementation of a reservoir computer th…

hep-lat2019★ 103 cited

On the extraction of spectral densities from lattice correlators

Martin Hansen, Alessandro Lupo, Nazario Tantalo

Hadronic spectral densities are important quantities whose non-perturbative knowledge allows for calculating phenomenologically relevant observables, such as inclusive hadronic cro…