collaborators

6 papers

quant-ph2026

Performance analysis of classical adiabatic annealing on Ising machines

Jacob Lamers, Guy Verschaffelt, Guy Van der Sande

Ising machines are a promising approach to solve combinatorial optimization problems. They map these problems onto the Ising model and search for low-energy configurations. However…

physics.app-ph2026

Beyond Gradient Descent: Adam for Analog Ising Machines

Stijn Van Vooren, Guy Van der Sande, Guy Verschaffelt

As Moore's law reaches its limits, Ising machines offer a promising alternative computing approach for difficult optimization problems. However, many analog, time-continuous Ising…

cs.LG2026

Reducing hyperparameter sensitivity in measurement-feedback based Ising machines

Toon Sevenants, Guy Van der Sande, Guy Verschaffelt

Analog Ising machines have been proposed as heuristic hardware solvers for combinatorial optimization problems, with the potential to outperform conventional approaches, provided t…

physics.app-ph2025

Predicting the optimal noise strength for solving optimization problems with analog Ising machines

Leen Mys, Guy Verschaffelt, Guy Van der Sande

Analog Ising machines are dedicated hardware solvers designed to solve NP hard optimization problems. However, the global optimum is often not found as the system gets stuck in loc…

cond-mat.stat-mech2025

How to Incorporate External Fields in Analog Ising Machines

Robbe De Prins, Jacob Lamers, Peter Bienstman +3

Ising machines (IMs) are specialized devices designed to efficiently solve combinatorial optimization problems (COPs). They consist of artificial spins that evolve towards a low-en…

cs.ET2025

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…