Computational study demonstrates efficient operator-loop updates for stochastic series expansion in quantum lattice models, indicating improved performance over conventional worldline algorithms.
A cluster update (the ``operator loop'') is developed within the framework of a numerically exact quantum Monte Carlo method based on the power series expansion of exp(-βH) (stochastic series expansion). The method is generally applicable to a wide class of lattice Hamiltonians for which the expansion is positive definite. For some important models the operator-loop algorithm is more efficient than loop updates previously developed for ``worldline'' simulations. The method is here tested on a two-dimensional anisotropic Heisenberg antiferromagnet in a magnetic field.
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Anders W. Sandvik (1999) studied this question.
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