Systematic improvement of wavefunctions in the variational Monte Carlo method for the t-J model

Masanori Kohno, Masatoshi Imada

Research output: Contribution to journalArticle

Abstract

We present an algorithm to systematically improve wavefunctions in the variational Monte Carlo method for the t-J model. The ground-state wavefunction is approximated by a linear combination of single-particle states with Gutzwiller projection. The single-particle states are successively generated according to the numerical path-integral renormalization group (PIRG) procedure. In the initial step, the present method reduces to the usual variational Monte Carlo method. As the number of single-particle states increases, the wavefunction converges to the ground-state wavefunction. Applying this method to the two-dimensional t-J model, we have confirmed that the wavefunction, which is composed of a small number of single-particle states, gives a good estimate of the ground-state energy. This algorithm does not suffer from the negative sign problem and can be applied to the models with strong correlations.

Original languageEnglish
Pages (from-to)1563-1566
Number of pages4
JournalJournal of Physics and Chemistry of Solids
Volume63
Issue number6-8
DOIs
Publication statusPublished - 2002 Jan 1
Externally publishedYes

Keywords

  • A. Superconductors
  • C. Ab initio calculations
  • D. Superconductivity

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)
  • Condensed Matter Physics

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