146 citations · 808 across the 16 of their papers we have counts for
4 papers · 1 filter
Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning
Fabian Böhm, Diego Alonso-Urquijo, Guy Verschaffelt +1
Ising machines are a promising non-von-Neumann computational concept for neural network training and combinatorial optimization. However, while various neural networks can be imple…
Order-of-magnitude differences in computational performance of analog Ising machines induced by the choice of nonlinearity
Fabian Böhm, Thomas Van Vaerenbergh, Guy Verschaffelt +1
Ising machines based on nonlinear analog systems are a promising method to accelerate computation of NP-hard optimization problems. Yet, their analog nature is also causing amplitu…
Distributed Kerr Nonlinearity in a Coherent All-Optical Fiber-Ring Reservoir Computer
Jaël Pauwels, Guy Verschaffelt, Serge Massar +1
We investigate, both numerically and experimentally, the usefulness of a distributed nonlinearity in a passive coherent photonic reservoir computer. This computing system is based…
Demonstrating Delay-based Reservoir Computing Using a Compact Photonic Integrated Chip
Krishan Harkhoe, Guy Verschaffelt, Andrew Katumba +2
Photonic delay-based reservoir computing (RC) has gained considerable attention lately, as it allows for simple technological implementations of the RC concept that can operate at…