Cluster solver for dynamical mean-field theory with linear scaling in inverse temperature

E. Khatami, C. R. Lee, Z. J. Bai, R. T. Scalettar, and M. Jarrell
Phys. Rev. E 81, 056703 – Published 12 May 2010

Abstract

Dynamical mean-field theory and its cluster extensions provide a very useful approach for examining phase transitions in model Hamiltonians and, in combination with electronic structure theory, constitute powerful methods to treat strongly correlated materials. The key advantage to the technique is that, unlike competing real-space methods, the sign problem is well controlled in the Hirsch-Fye (HF) quantum Monte Carlo used as an exact cluster solver. However, an important computational bottleneck remains; the HF method scales as the cube of the inverse temperature, β. This often makes simulations at low temperatures extremely challenging. We present here a method based on determinant quantum Monte Carlo which scales linearly in β, with a quadratic term that comes in to play for the number of time slices larger than hundred, and demonstrate that the sign problem is identical to HF.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Received 8 April 2009

DOI:https://doi.org/10.1103/PhysRevE.81.056703

©2010 American Physical Society

Authors & Affiliations

E. Khatami1,2, C. R. Lee3, Z. J. Bai4, R. T. Scalettar5, and M. Jarrell2

  • 1Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
  • 2Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana 70803, USA
  • 3Computer Science Department, National Tsing Hua University, Taiwan
  • 4Computer Science Department, University of California, Davis, California 95616, USA
  • 5Physics Department, University of California, Davis, California 95616, USA

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 81, Iss. 5 — May 2010

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review E

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×