Lifted worm algorithm for the Ising model

Physical Review. E
Eren Metin ElçiYoujin Deng

Abstract

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 energylike observable 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 energylike observable on the complete graph and leads to a significant constant improvement on toroidal grids.

Citations

Dec 2, 2020·Physical Review Letters·Lei ZhangYoujin Deng
Feb 20, 2021·Physical Review. E·Hidemaro Suwa

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