Accessing the dynamics of large many-particle systems using Stochastic Series Expansion

dc.creatorDorneich, A.
dc.creatorTroyer, M.
dc.date2001-06-22
dc.date.accessioned2026-07-07T06:29:08Z
dc.date.available2026-07-07T06:29:08Z
dc.descriptionThe Stochastic Series Expansion method (SSE) is a Quantum Monte Carlo (QMC) technique working directly in the imaginary time continuum and thus avoiding "Trotter discretization" errors. Using a non-local "operator-loop update" it allows treating large quantum mechanical systems of many thousand sites. In this paper we first give a comprehensive review on SSE and present benchmark calculations of SSE's scaling behavior with system size and inverse temperature, and compare it to the loop algorithm, whose scaling is known to be one of the best of all QMC methods. Finally we introduce a new and efficient algorithm to measure Green's functions and thus dynamical properties within SSE.
dc.description11 RevTeX pages including 7 figures and 5 tables
dc.identifierhttps://arxiv.org/abs/cond-mat/0106471
dc.identifierhttp://arxiv.org/abs/cond-mat/0106471
dc.identifierPhys. Rev. E 64, 066701 (2001)
dc.identifierdoi:10.1103/PhysRevE.64.066701
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/97929
dc.subjectStrongly Correlated Electrons
dc.subjectStatistical Mechanics
dc.titleAccessing the dynamics of large many-particle systems using Stochastic Series Expansion
dc.typetext

Files

Collections