Dynamic critical behavior of the worm algorithm for the Ising model
Youjin Deng, Timothy M. Garoni, Alan D. Sokal
Abstract
We study the dynamic critical behavior of the worm algorithm for the two- and three-dimensional Ising models, by Monte Carlo simulation. The autocorrelation functions exhibit an unusual three-time-scale behavior. As a practical matter, the worm algorithm is slightly more efficient than Swendsen-Wang for simulating the two-point function of the three-dimensional Ising model.
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