Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 24-minute conference talk on computational methods for solving the Fermi-Hubbard model, presented by Dr. Xiao Liang from Carnegie Mellon University. Delve into the application of variational Monte-Carlo (VMC) combined with variational wave-functions to study quantum many-body systems. Learn about the proposed backflow correction of the one-body Green function to improve correlation capture in Fermi-Hubbard-type models. Discover how this method is benchmarked on spinless models with open boundary conditions and Fermi-Hubbard models with periodic and cylindrical boundary conditions on rectangular lattices. Gain insights into how the energies achieved by this method compare to state-of-the-art approaches in condensed matter physics.