Quantum Monte Carlo study of the disordered attractive Hubbard model

R. T. Scalettar, N. Trivedi, and C. Huscroft
Phys. Rev. B 59, 4364 – Published 1 February 1999
PDFExport Citation

Abstract

We investigate the disorder-driven superconductor to insulator quantum phase transition (SIT) in an interacting fermion model using determinantal quantum Monte Carlo (QMC) methods. The disordered superconductor is modeled by an attractive Hubbard model with site disorder chosen randomly from a uniform distribution. The superconducting state which exists for small disorder is shown to evolve into an insulating phase beyond a critical disorder. The transition is tracked by the vanishing of (a) the superfluid stiffness, and (b) the charge stiffness or the delta function peak in the optical conductivity at zero frequency. We also show the behavior of the charge, spin, pair, and current correlations in the presence of disorder. Results for the temperature dependence of the dc conductivity, obtained by an approximate analytic continuation technique, are also presented both in the metallic phase above Tc and the insulating phase. We discuss some of the complications in extracting the resistance at the transition point.

  • Received 2 July 1998

DOI:https://doi.org/10.1103/PhysRevB.59.4364

©1999 American Physical Society

Authors & Affiliations

R. T. Scalettar

  • Department of Physics, University of California, Davis, California 95616

N. Trivedi

  • Theoretical Physics Group, Tata Institute for Fundamental Research, Mumbai 400005, India

C. Huscroft

  • Department of Physics, University of California, Davis, California 95616

References (Subscription Required)

Click to Expand
Issue

Vol. 59, Iss. 6 — 1 February 1999

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 B

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×