3 research outputs found
Lifted Worm Algorithm for the Ising Model
We design an irreversible worm algorithm for the zero-field ferromagnetic
Ising model by using the lifting technique. We study the dynamic critical
behavior of an energy estimator on both the complete graph and toroidal grids,
and compare our findings with reversible algorithms such as the
Prokof'ev-Svistunov worm algorithm. Our results show that the lifted worm
algorithm improves the dynamic exponent of the energy estimator on the complete
graph, and leads to a significant constant improvement on toroidal grids.Comment: 9 pages, 6 figure