Neural networks as low-cost surrogates for impurity solvers in quantum embedding methods

Rohan Nain, Philip M. Dee, Kipton Barros +2

A promising application of machine learning is the creation of low-cost surrogate models to mitigate computational bottlenecks in quantum many-body simulations. Here, we explore wh…