Quantum Monte Carlo Loop Algorithm for the t-J Model
arXiv:cond-mat/9711022 · doi:10.1103/PhysRevB.58.4304
Abstract
We propose a generalization of the Quantum Monte Carlo loop algorithm to the t-J model by a mapping to three coupled six-vertex models. The autocorrelation times are reduced by orders of magnitude compared to the conventional local algorithms. The method is completely ergodic and can be formulated directly in continuous time. We introduce improved estimators for simulations with a local sign problem. Some first results of finite temperature simulations are presented for a t-J chain, a frustrated Heisenberg chain, and t-J ladder models.
22 pages, including 12 figures. RevTex v3.0, uses psf.tex
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Cited by in corpus (12)
- The Loop Algorithm
- Meron-Cluster Solution of Fermion Sign Problems
- Zero-variance principle for Monte Carlo algorithms
- Continuous-Time Quantum Monte Carlo Algorithm for the Lattice Polaron
- Exchange interactions and magnetic properties of the layered vanadates CaV2O5, MgV2O5, CaV3O7 and CaV4O9
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- Stripes, topological order, and deconfinement in a planar t-Jz model
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- Thermodynamic and diamagnetic properties of weakly doped antiferromagnets
- Fermion Cluster Algorithms