Code for Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning

Code for reproducing results and plots from our paper "Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning" arXiv.2210.11288.

It is completed by the datasets available at Zenodo 10.5281/zenodo.7250436.

Code for Accelerating equilibrium spin-glass simulations using quantum data and deep learning

Release linked to Zenodo. Relevant features:

• Autoregressive neural networks (MADE, PixelCNN);
• Monte Carlo methods (SSF-MCMC, N-MCMC, H-MCMC).