Optimization of Gutzwiller Wavefunctions in Quantum Monte Carlo
arXiv:cond-mat/9903070 · doi:10.1103/PhysRevB.59.15632
Abstract
Gutzwiller functions are popular variational wavefunctions for correlated electrons in Hubbard models. Following the variational principle, we are interested in the Gutzwiller parameters that minimize e.g. the expectation value of the energy. Rewriting the expectation value as a rational function in the Gutzwiller parameters, we find a very efficient way for performing that minimization. The method can be used to optimize general Gutzwiller-type wavefunctions both, in variational and in fixed-node diffusion Monte Carlo.
9 pages RevTeX with 10 eps figures
Cited by in corpus (9)
- Screening, Coulomb pseudopotential, and superconductivity in alkali-doped Fullerenes
- Filling dependence of the Mott transition in the degenerate Hubbard model
- Evaluation techniques for Gutzwiller wave functions in finite dimensions
- Variational Monte Carlo Study of Anderson Localization in the Hubbard Model
- Optimization of Trial Wave Functions for Hamiltonian Lattice Models
- Mott transition in the Hubbard model on anisotropic honeycomb lattice with implications for strained graphene: Gutzwiller variational study
- Metal-Insulator transitions in generalized Hubbard models
- One-electron bands, quantum Monte Carlo, and real superconductors
- Adaptive Optimization of Wave Functions for Fermion Lattice Models