10 citations · 24 across the 8 of their papers we have counts for
8 papers
Cluster-based Message-Passing (CluMP) Optimization for Complex QUBO Problems
Paolo Rissone, Stefan Boettcher, Alfonso Amendola +2
Quadratic Unconstrained Boolean Optimization (QUBO) problems are widespread in both industrial applications and scientific studies. A QUBO problem corresponds to the optimization o…
Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization
Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi
Combinatorial optimization problems are central to both practical applications and the development of optimization methods. While classical and quantum algorithms have been refined…
Algorithmic thresholds in combinatorial optimization depend on the time scaling
M. C. Angelini, M. Avila-González, F. D'Amico +3
In the last decades, many efforts have focused on analyzing typical-case hardness in optimization and inference problems. Some recent work has pointed out that polynomial algorithm…
Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi
Recent years have seen a rise in the application of machine learning techniques to aid the simulation of hard-to-sample systems that cannot be studied using traditional methods. De…
Soft modes in vector spin glass models on sparse random graphs
Silvio Franz, Cosimo Lupo, Flavio Nicoletti +2
We study numerically the Hessian of low-lying minima of vector spin glass models defined on random regular graphs. We consider the two-component (XY) and three-component (Heisenber…
Nearest-Neighbours Neural Network architecture for efficient sampling of statistical physics models
Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi
The task of sampling efficiently the Gibbs-Boltzmann distribution of disordered systems is important both for the theoretical understanding of these models and for the solution of…