Boltzmann sampling of spin glasses

'Boltzmann sampling of spin glasses' refers to a dataset used to evaluate sampling methods by generating configurations of spin glass systems according to their Boltzmann distribution, which is crucial for assessing the performance of algorithms in efficiently sampling complex energy landscapes.

Papers using Boltzmann sampling of spin glasses (1)

Neural-network-assisted Monte Carlo sampling trained by Quantum Approximate Optimization Algorithm2025