Adaptively truncated Hilbert space based impurity solver for dynamical mean-field theory

Ara Go and Andrew J. Millis
Phys. Rev. B 96, 085139 – Published 28 August 2017

Abstract

We present an impurity solver based on adaptively truncated Hilbert spaces. The solver is particularly suitable for dynamical mean-field theory in circumstances where quantum Monte Carlo approaches are ineffective. It exploits the sparsity structure of quantum impurity models, in which the interactions couple only a small subset of the degrees of freedom. We further introduce an adaptive truncation of the particle or hole excited spaces, which enables computations of Green functions with an accuracy needed to avoid unphysical (sign change of imaginary part) self-energies. The method is benchmarked on the one-dimensional Hubbard model.

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  • Received 15 March 2017

DOI:https://doi.org/10.1103/PhysRevB.96.085139

©2017 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Ara Go1,2,* and Andrew J. Millis2

  • 1Center for Theoretical Physics of Complex Systems, Institute for Basic Science (IBS), Daejeon 34051, Republic of Korea
  • 2Department of Physics, Columbia University, New York, New York 10027, USA

  • *Corresponding author: arago@ibs.re.kr

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Issue

Vol. 96, Iss. 8 — 15 August 2017

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