Cluster Monte Carlo Algorithm for the Quantum Rotor Model
Fabien Alet, Erik S. Sorensen
Abstract
We propose a highly efficient "worm" like cluster Monte Carlo algorithm for the quantum rotor model in the link-current representation. We explicitly prove detailed balance for the new algorithm even in the presence of disorder. For the pure quantum rotor model with μ=0 the new algorithm yields high precision estimates for the critical point Kc=0.33305(5) and the correlation length exponent ν=0.670(3). For the disordered case, μ=1/2 1/2, we find ν=1.15(10).
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