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Computation of dynamical correlation functions for many-fermion systems with auxiliary-field quantum Monte Carlo

Ettore Vitali, Hao Shi, Mingpu Qin, and Shiwei Zhang
Phys. Rev. B 94, 085140 – Published 23 August 2016

Abstract

We address the calculation of dynamical correlation functions for many fermion systems at zero temperature, using the auxiliary-field quantum Monte Carlo method. The two-dimensional Hubbard hamiltonian is used as a model system. Although most of the calculations performed here are for cases where the sign problem is absent, the discussions are kept general for applications to physical problems when the sign problem does arise. We study the use of twisted boundary conditions to improve the extrapolation of the results to the thermodynamic limit. A strategy is proposed to drastically reduce finite size effects relying on a minimization among the twist angles. This approach is demonstrated by computing the charge gap at half filling. We obtain accurate results showing the scaling of the gap with the interaction strength U in two dimensions, connecting to the scaling of the unrestricted Hartree-Fock method at small U and Bethe ansatz exact result in one dimension at large U. An alternative algorithm is then proposed to compute dynamical Green functions and correlation functions which explicitly varies the number of particles during the random walks in the manifold of Slater determinants. In dilute systems, such as ultracold Fermi gases, this algorithm enables calculations with much more favorable complexity, with computational cost proportional to basis size or the number of lattice sites.

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  • Received 15 June 2016
  • Revised 28 July 2016

DOI:https://doi.org/10.1103/PhysRevB.94.085140

©2016 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Ettore Vitali, Hao Shi, Mingpu Qin, and Shiwei Zhang

  • Department of Physics, The College of William and Mary, Williamsburg, Virginia 23187, USA

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Issue

Vol. 94, Iss. 8 — 15 August 2016

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