High-accuracy variational Monte Carlo for frustrated magnets with deep neural networks

Christopher Roth, Attila Szabó, Allan MacDonald

We show that neural quantum states based on very deep (4--16-layered) neural networks can outperform state-of-the-art variational approaches on highly frustrated quantum magnets, i…