6 papers
Ising selector machine by Kerr parametric oscillators
Jacopo Tosca, Cristiano Ciuti, Claudio Conti +1
Ising machines are physical platforms designed to minimize the energy of classical Ising Hamiltonians, yet accessing specific excited states remains an open challenge of both funda…
Equalized Hyperspin Machine
Marcello Calvanese Strinati, Claudio Conti
The reliable simulation of spin models is of critical importance to tackle complex optimization problems that are intractable on conventional computing machines. The recently intro…
Phase Retrieval via Gain-Based Photonic XY-Hamiltonian Optimization
Richard Zhipeng Wang, Guangyao Li, Silvia Gentilini +3
Phase-retrieval from coded diffraction patterns (CDP) is important to X-ray crystallography, diffraction tomography and astronomical imaging, yet remains a hard, non-convex inverse…
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…
Emergent Equilibrium in All-Optical Single Quantum-Trajectory Ising Machines
Jacopo Tosca, Marcello Calvanese Strinati, Claudio Conti +1
We investigate the dynamics of multi-mode optical systems driven by two-photon processes and subject to non-local losses, incorporating quantum noise at the Gaussian level. Our fin…
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…