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Abstract
En 中文
A review of the loop algorithm, its generalizations, and its relation to some other Monte Carlo techniques is given. The loop algorithm is a quantum Monte Carlo procedure that employs non-local changes of worldline configurations, determined by local stochastic decisions. It is based on a formulation of quantum models of any dimension in an extended ensemble of worldlines and graphs, and is related to Swendsen Wang algorithms. It can be represented directly on an operator level, both with a continuous imaginary time path integral and with the stochastic series expansion. It overcomes many of the difficulties of traditional worldline simulations. Autocorrelations are reduced by orders of magnitude. Grand-canonical ensembles, off-diagonal operators, and variance reduced estimators are accessible. In some cases, infinite systems can be simulated. For a restricted class of models, the fermion sign problem can be overcome. Transverse magnetic fields are handled efficiently, in contrast to strong diagonal fields. The method has been applied successfully to a variety of models for spin and charge degrees of freedom, including Heisenberg and XYZ spin models, hard-core bosons, Hubbard and t-J-models. Owing to the improved efficiency, precise calculations of asymptotic behaviour and of quantum critical exponents have been possible.
Keywords:
QUANTUM MONTE-CARLO
DILUTED HEISENBERG-ANTIFERROMAGNET
GRIFFITHS-MCCOY SINGULARITIES
CHIRAL PHASE-TRANSITION
BOSONIC HUBBARD-MODEL
SINGLE HOLE DYNAMICS
CLUSTER ALGORITHMS
CORRELATION-LENGTH
CRITICAL-BEHAVIOR
SQUARE-LATTICE
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