Quantum-assisted learning of graphical models with arbitrary pairwise connectivity

This work successfully training hardware-embedded models with all-to-all connectivity on a real dataset of handwritten digits and two synthetic datasets and shows the generative capabilities of the models learned with the assistance of the quantum annealer in experiments with up to 940 quantum bits.