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dc.contributor.authorCampbell, David K.en_US
dc.contributor.authorSingh, R. R. P.en_US
dc.contributor.authorSandvik, A. W.en_US
dc.date.accessioned2009-04-13T18:52:35Z
dc.date.available2009-04-13T18:52:35Z
dc.date.issued1997-06-05
dc.identifier.citation1997. "Quantum Monte Carlo in the Interaction Representation --- Application to a Spin-Peierls Model," cond-mat/9706046. http://arxiv.org/abs/cond-mat/9706046
dc.identifier.otherPhys. Rev. B 56, 14510 (1997)
dc.identifier.urihttps://hdl.handle.net/2144/986
dc.identifier.urihttp://arxiv.org/abs/cond-mat/9706046
dc.description.abstractA quantum Monte Carlo algorithm is constructed starting from the standard perturbation expansion in the interaction representation. The resulting configuration space is strongly related to that of the Stochastic Series Expansion (SSE) method, which is based on a direct power series expansion of exp(-beta*H). Sampling procedures previously developed for the SSE method can therefore be used also in the interaction representation formulation. The new method is first tested on the S=1/2 Heisenberg chain. Then, as an application to a model of great current interest, a Heisenberg chain including phonon degrees of freedom is studied. Einstein phonons are coupled to the spins via a linear modulation of the nearest-neighbor exchange. The simulation algorithm is implemented in the phonon occupation number basis, without Hilbert space truncations, and is exact. Results are presented for the magnetic properties of the system in a wide temperature regime, including the T-->0 limit where the chain undergoes a spin-Peierls transition. Some aspects of the phonon dynamics are also discussed. The results suggest that the effects of dynamic phonons in spin-Peierls compounds such as GeCuO3 and NaV2O5 must be included in order to obtain a correct quantitative description of their magnetic properties, both above and below the dimerization temperature.en_US
dc.relation.ispartofcond-mat/9706046
dc.titleQuantum Monte Carlo in the Interaction Representation --- Application to a Spin-Peierls Modelen_US
dc.typeArticleen_US


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