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Journal of Low Temperature Physics

Some results from quantum monte carlo studies of the 2D Hubbard model

Douglas J. Scalapino

Published Apr 1, 1994• 16 citations
Publisher
DOI
10.1007/bf00754933

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This paper introduces an ansatz-based technique for solution of the Hubbard model over two length scales. Short-range correlations are treated exactly using a dynamical cluster approximation quantum Monte Carlo (QMC) simulation, while longer-length-scale physics requiring larger cluster sizes is incorporated through the introduction of the fluctuation-exchange approximation. The properties of the resulting hybrid scheme are examined and the description of local-moment formation is compared to exact results in one dimension (1D). The effects of electron-electron coupling and electron doping on the shape of the Fermi surface are demonstrated in 2D. Causality is examined in both 1D and 2D. We find that the scheme is successful if QMC clusters of ${N}_{C}>~4$ are used (with sufficiently high temperatures in 1D), however, very small QMC clusters of ${N}_{C}=1$ lead to acausal results.

arXiv:cond-mat/0312155•Physical Review B•Apr 14, 2004•13 citations
This paper introduces an ansatz-based technique for solution of the Hubbard model over two length scales. Short-range correlations are treated exactly using a dynamical cluster approximation quantum Monte Carlo (QMC) simulation, while longer-length-scale physics requiring larger cluster sizes is incorporated through the introduction of the fluctuation-exchange approximation. The properties of the resulting hybrid scheme are examined and the description of local-moment formation is compared to exact results in one dimension (1D). The effects of electron-electron coupling and electron doping on the shape of the Fermi surface are demonstrated in 2D. Causality is examined in both 1D and 2D. We find that the scheme is successful if QMC clusters of NC> 4{N}_{C}>~4NC​> 4 are used (with sufficiently high temperatures in 1D), however, very small QMC clusters of NC=1{N}_{C}=1NC​=1 lead to acausal results.