3 papers
cond-mat.str-el2020
Leveraging Machine Learning to Alleviate Hubbard Model Sign Problems
Jan-Lukas Wynen, Evan Berkowitz, Stefan Krieg +2
Lattice Monte Carlo calculations of interacting systems on non-bipartite lattices exhibit an oscillatory imaginary phase known as the phase or sign problem, even at zero chemical p…
cond-mat.str-el2020
The Semimetal-Mott Insulator Quantum Phase Transition of the Hubbard Model on the Honeycomb Lattice
Johann Ostmeyer, Evan Berkowitz, Stefan Krieg +3
We take advantage of recent improvements in the grand canonical Hybrid Monte Carlo algorithm, to perform a precision study of the single-particle gap in the hexagonal Hubbard model…
cond-mat.str-el2018
Accelerating Hybrid Monte Carlo simulations of the Hubbard model on the hexagonal lattice
Stefan Krieg, Thomas Luu, Johann Ostmeyer +2
We present different methods to increase the performance of Hybrid Monte Carlo simulations of the Hubbard model in two-dimensions. Our simulations concentrate on a hexagonal lattic…