Thermodynamic properties of quantum lattice models from numerical linked cluster expansions

Marcos Rigol, Rajiv R.P. Singh

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We review a recently proposed numerical linked-cluster (NLC) algorithm that allows one to obtain temperature-dependent properties of quantum lattice models, in the thermodynamic limit, from exact diagonalization of finite clusters. This approach provides a systematic framework to assess finite-size effects and is valid for any quantum lattice model. We present results for thermodynamic properties of spin and t - J models in different lattice geometries in two-dimensions. In addition, we present an extrapolation scheme that enables one to accelerate the convergence of NLC.

Original languageEnglish (US)
Pages (from-to)540-544
Number of pages5
JournalComputer Physics Communications
Volume180
Issue number4
DOIs
StatePublished - Apr 2009

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • General Physics and Astronomy

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