363 citations · 989 across the 28 of their papers we have counts for
29 papers
Experimental Demonstration of 7-Dimensional N-Vector Model with Dimensional Inflation and Annealing
Daniele Veraldi, Marcello Calvanese Strinati, Paolo Charlesworth +4
We report the first experimental realization of a physical system described by a high-dimensional Hamiltonian comprising up to seven dimensions. Our setup is based on a holographic…
Optical Implementation of Equilibrium Propagation Using Spatial Photonic Ising Machines
Dimitri Vanden Abeele, Daniele Veraldi, Davide Pierangeli +2
Equilibrium Propagation offers a compelling alternative to traditional machine learning for training energy-based networks. Here we demonstrate a hybrid optical-digital implementat…
Precision Hamiltonian Encoding in Full-Aperture Spatial Photonic Ising Machines
P. S. Karavelas, D. Karanikolopoulos, L. Mouchliadis +11
Spatial photonic Ising machines (SPIMs) offer compact, room-temperature hardware with inherently parallel, energy-efficient, single-shot optical evaluation of the Ising Hamiltonian…
Analyzing partially-polarized light with a photonic deep random neural network
Alessandro Petrini, Claudio Conti, Davide Pierangeli
Optical neural networks are emerging as a powerful and versatile tool for processing optical signals directly in the optical domain with superior speed, integrability, and function…
Ising machine by dimensional collapse of nonlinear polarization oscillators
Salvatore Chiavazzo, Marcello Calvanese Strinati, Claudio Conti +1
Ising machines show promise as ultrafast hardware for optimizations encoded in Ising Hamiltonians but fall short in terms of success rate and performance scaling. Here, we propose…
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…
Fully Programmable Spatial Photonic Ising Machine by Focal Plane Division
Daniele Veraldi, Davide Pierangeli, Silvia Gentilini +10
Ising machines are an emerging class of hardware that promises ultrafast and energy-efficient solutions to NP-hard combinatorial optimization problems. Spatial photonic Ising machi…
Observation of 2D dam break flow and a gaseous phase of solitons in a photon fluid
Ludovica Dieli, Davide Pierangeli, Eugenio DelRe +1
We report the observation of a two-dimensional dam break flow of a photon fluid in a nonlinear optical crystal. By precisely shaping the amplitude and phase of the input wave, we i…
Efficient Computation Using Spatial-Photonic Ising Machines: Utilizing Low-Rank and Circulant Matrix Constraints
Richard Zhipeng Wang, James S. Cummins, Marvin Syed +11
We explore the potential of spatial-photonic Ising machines (SPIMs) to address computationally intensive Ising problems that employ low-rank and circulant coupling matrices. Our re…
An optical Ising spin glass simulator with tuneable short range couplings
Louis Delloye, Gianni Jacucci, Raj Pandya +3
Non-deterministic polynomial-time (NP) problems are ubiquitous in almost every field of study. Recently, all-optical approaches have been explored for solving classic NP problems b…
Optical rogue waves in spheroids of tumor cells
D. Pierangeli, G. Perini, V. Palmieri +5
Rogue waves are intense and unexpected wavepackets ubiquitous in complex systems. In optics, they are promising as robust and noise-resistant beams for probing and manipulating the…
Single-shot polarimetry of vector beams by supervised learning
Davide Pierangeli, Claudio Conti
States of light encoding multiple polarizations - vector beams - offer unique capabilities in metrology and communication. However, their practical application is limited by the la…
Large-scale photonic natural language processing
Carlo Michele Valensise, Ivana Grecco, Davide Pierangeli +1
Modern machine learning applications require huge artificial networks demanding in computational power and memory. Light-based platforms promise ultra-fast and energy-efficient har…
All-optical scalable spatial coherent Ising machine
Marcello Calvanese Strinati, Davide Pierangeli, Claudio Conti
Networks of optical oscillators simulating coupled Ising spins have been recently proposed as a heuristic platform to solve hard optimization problems. These networks, called coher…
Tuneable spin-glass optical simulator based on multiple light scattering
Gianni Jacucci, Louis Delloye, Davide Pierangeli +3
The race to heuristically solve non-deterministic polynomial-time (NP) problems through efficient methods is ongoing. Recently, optics was demonstrated as a promising tool to find…
Photonic extreme learning machine by free-space optical propagation
Davide Pierangeli, Giulia Marcucci, Claudio Conti
Photonic brain-inspired platforms are emerging as novel analog computing devices, enabling fast and energy-efficient operations for machine learning. These artificial neural networ…
Evidence of hyperdimensional topological defects in a ferroelectric supercrystal phase-transition
Feifei Xin, Fabrizio Di Mei, Ludovica Falsi +5
We perform real-time stereoscopic wide-area imaging of a ferroelectric phase-transition in KTN:Li. Spontaneous polarization is observed to form a thermally hysteretic 3D lattice of…
Scalable spin-glass optical simulator
Davide Pierangeli, Mushegh Rafayelyan, Claudio Conti +1
Many developments in science and engineering depend on tackling complex optimizations on large scales. The challenge motivates intense search for specific computing hardware that t…
Adiabatic evolution on a spatial-photonic Ising machine
D. Pierangeli, G. Marcucci, C. Conti
Combinatorial optimization problems are crucial for widespread applications but remain difficult to solve on a large scale with conventional hardware. Novel optical platforms, know…
Noise-enhanced spatial-photonic Ising machine
Davide Pierangeli, Giulia Marcucci, Daniel Brunner +1
Ising machines are novel computing devices for the energy minimization of Ising models. These combinatorial optimization problems are of paramount importance for science and techno…
Constraint-free wavelength conversion supported by giant optical refraction in a 3D perovskite supercrystal
Ludovica Falsi, Luca Tartara, Fabrizio Di Mei +8
Nonlinear response in a material increases with its index of refraction as . Commonly, 1 so that diffraction, dispersion, and chromatic walk-off limit nonlinear scatt…
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons
Giulia Marcucci, Davide Pierangeli, Claudio Conti
We study artificial neural networks with nonlinear waves as a computing reservoir. We discuss universality and the conditions to learn a dataset in terms of output channels and non…
Anisotropic Optical Shock Waves in Isotropic Media with Giant Nonlocal Nonlinearity
Giulia Marcucci, Phillip Cala, Weining Man +3
Dispersive shock waves in thermal optical media belong to the third-order nonlinear phenomena, whose intrinsic irreversibility is described by time asymmetric quantum mechanics. Re…
Topological Control of Extreme Waves
Giulia Marcucci, Davide Pierangeli, Aharon J. Agranat +3
From optics to hydrodynamics, shock and rogue waves are widespread. Although they appear as distinct phenomena, new theories state that transitions between extreme waves are allowe…