We present a functional interpolation approach within the auxiliary master equation framework to efficiently and accurately solve correlated impurity problems in nonequilibrium dynamical mean-field theory (DMFT). By leveraging a near-exact auxiliary bath representation, the method estimates corrections via interpolation over a few bath realisations, significantly reducing computational cost and increasing accuracy. We illustrate the approach on the Anderson impurity model and on the Hubbard model within DMFT, capturing equilibrium and long-lived photodoped states.
@article{arxiv.2502.18166,
title = {Functional interpolation expansion for nonequilibrium correlated impurities},
author = {Daniel Werner and Enrico Arrigoni},
journal= {arXiv preprint arXiv:2502.18166},
year = {2025}
}