A Worm Algorithm for Two-Dimensional Spin Glasses

Details A Worm Algorithm for Two-Dimensional Spin Glasses A Worm Algorithm for Two-Dimensional Spin Glasses

2005-06-05

arxiv.org/abs/cond-mat/0506116v1

Phys Rev E 72 (2005) 036706

Physics

Condensed Matter

Statistical Mechanics

4 pages, 3 figures

Scientific paper

10.1103/PhysRevE.72.036706

A worm algorithm is proposed for the two-dimensional spin glasses. The method is based on a low-temperature expansion of the partition function. The low-temperature configurations of the spin glass on square lattice can be viewed as strings connecting pairs of frustrated plaquettes. The worm algorithm directly manipulates these strings. It is shown that the worm algorithm is as efficient as any other types of cluster or replica-exchange algorithms. The worm algorithm is even more efficient if free boundary conditions are used. We obtain accurate low-temperature specific heat data consistent with a form c = T^{-2} exp(-2J/(k_BT)), where T is temperature and J is coupling constant, for the +/-J two-dimensional spin glass.

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