Publication | Closed Access
Higher-order hybrid Monte Carlo algorithms
166
Citations
6
References
1989
Year
Numerical AnalysisEngineeringMonte Carlo MethodsComputational MechanicsStatistical Field TheorySimple Recursive IterationNumerical ComputationNumerical SimulationApproximation TheoryPhysicsMonte CarloQuantum Field TheoryFermionic FieldsComputer ScienceLeapfrog DiscretizationMonte Carlo SamplingNatural SciencesMonte Carlo MethodLattice Field TheoryMultiscale Modeling
We present a simple recursive iteration of the leapfrog discretization of Newton's equations which leads to a removal of the finite-step-size error to any desired order. This is done in a manner that preserves phase-space areas and reversibility, as required for use in the hybrid Monte Carlo method for simulating fermionic fields. The resulting asymptotic volume dependence is exp[(lnV${)}^{1/2}$]. We test the scheme on the (2+1)-dimensional Hubbard model.
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