A5080967998- Neural Networks and Reservoir Computing
- Advanced Fiber Laser Technologies
- Nonlinear Photonic Systems
- Photorefractive and Nonlinear Optics
- Quantum Computing Algorithms and Architecture
- Nonlinear Waves and Solitons
- Photonic and Optical Devices
- Optical Network Technologies
- Random lasers and scattering media
- Ferroelectric and Piezoelectric Materials
- Quantum Information and Cryptography
- Advanced Memory and Neural Computing
- Laser-Matter Interactions and Applications
- Acoustic Wave Resonator Technologies
- Nonlinear Dynamics and Pattern Formation
- Optical and Acousto-Optic Technologies
- Orbital Angular Momentum in Optics
- Optical Polarization and Ellipsometry
- Neural Networks and Applications
- Neural dynamics and brain function
- Perovskite Materials and Applications
- Solid State Laser Technologies
- Theoretical and Computational Physics
- Plant and animal studies
- Fluid Dynamics and Turbulent Flows
Sapienza University of Rome
2015-2025
Institute for Complex Systems
2019-2025
National Research Council
2019-2025
Enrico Fermi Center for Study and Research
2021-2022
National Research Council
2021
Shenzhen University
2018-2020
National Academies of Sciences, Engineering, and Medicine
2019-2020
University of Twente
2020
Heriot-Watt University
2020
University of Brescia
2017
Quantum and classical physics can be used for mathematical computations that are hard to tackle by conventional electronics. Very recently, optical Ising machines have been demonstrated computing the minima of spin Hamiltonians, paving way new ultrafast hardware machine learning. However, proposed systems either tricky scale or involve a limited number spins. We design experimentally demonstrate large-scale based on simple setup with spatial light modulator. By encoding variables in binary...
We study artificial neural networks with nonlinear waves as a computing reservoir. discuss universality and the conditions to learn dataset in terms of output channels nonlinearity. A feed-forward three-layered model, an encoding input layer, wave decoding readout, behaves conventional network approximating mathematical functions, real-world datasets, universal Boolean gates. The rank transmission matrix has fundamental role assessing learning abilities wave. For given set training points,...
Rogue waves are observed as light propagates in the extreme nonlinear regime that occurs when a photorefractive ferroelectric crystal is undergoing structural phase transition. The transmitted spatial distribution contains bright localized spots of anomalously large intensity follow signature long-tail statistics disappears nonlinearity weakened. isolated wave events form out-of-equilibrium response and disorder enhance Kerr-saturated at critical point. Self-similarity associable to...
One of the most controversial phenomena in nonlinear dynamics is recurrence initial conditions. New optical experiments reveal origin this enigma and demonstrate ability to reconstruct condition an unstable system.
We investigate the mutual interaction of two spatially-separated Airy beams in nonlinear Schrödinger equation with fractional Laplacian. Depending on beam separation (d), relative phase and Lévy index (α), we observed an anomalous attraction or repulsion between beams. Anomalous leads to a single breather soliton period that grows exponentially as α increases. In this region parameter space, identify crossover asymmetric regimes: exceeds critical value αc, for d>0 is orders magnitude larger...
Combinatorial optimization problems are crucial for widespread applications but remain difficult to solve on a large scale with conventional hardware. Novel optical platforms, known as coherent or photonic Ising machines, attracting considerable attention accelerators tasks formulable models. Annealing is well-known technique based adiabatic evolution finding optimal solutions in classical and quantum systems made by atoms, electrons, photons. Although various machines employ annealing some...
From optics to hydrodynamics, shock and rogue waves are widespread. Although they appear as distinct phenomena, new theories state that transitions between extreme allowed. However, these have never been experimentally observed because of the lack control strategies. We introduce a concept nonlinear wave topological control, based on one-to-one correspondence number packet oscillating phases genus toroidal surfaces associated with Schr\"odinger equation solutions by Riemann theta function....
Abstract As atoms and molecules condense to form solids, a crystalline state can emerge with its highly ordered geometry subnanometric lattice constant. In some physical systems, such as ferroelectric perovskites, perfect structure forms even when the condensing substances are non-stoichiometric. The resulting solids have compositional disorder complex macroscopic properties, giant susceptibilities non-ergodicity. Here, we observe spontaneous formation of cubic in composite...
A landmark of statistical mechanics, spin-glass theory describes critical phenomena in disordered systems that range from condensed matter to biophysics and social dynamics. The most fascinating concept is the breaking replica symmetry: identical copies randomly interacting system manifest completely different Replica symmetry has been predicted nonlinear wave propagation, including Bose-Einstein condensates optics, but it never observed. Here, we report experimental evidence optical a...
Abstract States of light encoding multiple polarizations - vector beams offer unique capabilities in metrology and communication. However, their practical application is limited by the lack methods for measuring many a scalable compact way. Here we demonstrate polarimetry single shot without any polarization optics. We map beam content into spatial intensity distribution through scattering exploit supervised learning single-shot measurements polarizations. characterize structured up to nine...
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in field. It emphasizes critical role cross-disciplinary collaboration this rapidly evolving
Ising machines are an emerging class of hardware that promises ultrafast and energy-efficient solutions to <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi>N</a:mi><a:mi>P</a:mi></a:math>-hard combinatorial optimization problems. Spatial photonic (SPIMs) exploit optical computing in free space accelerate the computation, showcasing parallelism, scalability, low power consumption. However, current SPIMs can implement only a restricted This partial programmability is...
<title>Abstract</title> Solitons are the cornerstone of nonlinear physics. The integrability equations is basis this universal concept. However, most multidimensional systems lack integrability, a fundamental limitation that challenges existence solitons in high dimensions. A groundbreaking exception would be lump soliton, two-dimensional solution Kadomtsev-Petviashvili (KP) equation with unique property propagating unperturbed three-dimensional space. Due to difficulty implementing KP...
We report the direct observation of onset turbulence in propagating one-dimensional optical waves. The transition occurs as disordered hosting material passes from being linear to one with extreme nonlinearity. As response grows, increased wave interaction causes a modulational unstable quasihomogeneous flow be superseded by chaotic and spatially incoherent one. Statistical analysis high-resolution behavior turbulent regime unveils emergence concomitant rogue transition, observed...
Networks of optical oscillators simulating coupled Ising spins have been recently proposed as a heuristic platform to solve hard optimization problems. These networks, called coherent machines (CIMs), exploit the fact that collective nonlinear dynamics can drive system close global minimum classical Hamiltonian, encoded in coupling matrix network. To date, realizations large-scale CIMs demonstrated using hybrid optical-electronic setups, where different are subject electronic feedback...
Modern machine-learning applications require huge artificial networks demanding computational power and memory. Light-based platforms promise ultrafast energy-efficient hardware, which may help realize next-generation data processing devices. However, current photonic are limited by the number of input-output nodes that can be processed in a single shot. This restricted network capacity prevents their application to relevant large-scale problems such as natural language processing. Here, we...
We demonstrate an electro-optic response that is linear in the amplitude but independent of sign applied electric field.The symmetry-preserving effect emerges at low fields freezing nanodisordered KNTN above dielectric peak temperature, deep into nominal paraelectric phase.Strong temperature dependence allows us to attribute phenomenon anomalously reduced thermal agitation reorientational underlying polar-nanoregions.
We propose and provide experimental evidence of a mechanism able to support negative intrinsic effective mass. The idea is use shape-sensitive nonlinearity change the sign mass in leading linear propagation equation. Intrinsic negative-mass dynamics reported for light beams ferroelectric crystal substrate, where diffusive photorefractive leads Schr\"odinger signature inverted observation repelled from strongly guiding integrated waveguides irrespective wavelength intensity suggests as basic
Dispersive shock waves are fascinating phenomena occurring when nonlinearity overwhelms linear effects, such as dispersion and diffraction. Many features of still under investigation, the interplay with noninstantaneity in temporal pulses transmission nonlocality spatial beams propagation. Despite rich vast literature on nonlinear optical Kerr media, dispersive nonlocal materials deserve further attention for their unconventional properties. Indeed, they have been investigated colloidal...
Abstract Ising machines are novel computing devices for the energy minimization of models. These combinatorial optimization problems paramount importance science and technology, but remain difficult to tackle on large scale by conventional electronics. Recently, various photonics-based demonstrated fast a ground state data processing through multiple temporal or spatial optical channels. Experimental noise acts as detrimental effect in many these devices. On contrary, here we demonstrate...
We study the formation of 2D self-trapped beams in nanodisordered potassium-sodium-tantalate-niobate (KNTN) cooled below dynamic glass transition. Supercooling is shown to accelerate photorefractive response and enhance steady-state anisotropy. Effects excited state are attributed anomalous slim-loop polarization curve typical relaxors dominated by non-interacting polar-nano-regions.
Many developments in science and engineering depend on tackling complex optimizations large scales. The challenge motivates an intense search for specific computing hardware that takes advantage of quantum features, nonlinear dynamics, or photonics. A paradigmatic optimization problem is to find low-energy states classical spin systems with fully random interactions. To date, no alternative platform can address such spin-glass problems a scale. Here, we propose realize optical scalable...