Accessing the dynamics of large many-particle systems using the stochastic series expansion.

摘要: The stochastic series expansion (SSE) method is a quantum Monte Carlo (QMC) technique working directly in the imaginary time continuum and thus avoiding "Trotter discretization" errors. Using nonlocal "operator-loop update," it allows one to treat large mechanical systems of many thousand sites. In this paper we first give comprehensive review on SSE present benchmark calculations scaling behavior with system size inverse temperature, compare loop algorithm, whose known be best all QMC methods. Finally introduce an efficient algorithm measure Green's functions dynamical properties within SSE.