Introduction to quantum Monte Carlo simulations for fermionic systems

We tutorially review the determinantal Quantum Monte Carlo method for fermionic systems, using the Hubbard model as a case study. Starting with the basic ingredients of Monte Carlo simulations for classical systems, we introduce aspects such as importance sampling, sources of errors, and finite-size...

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Bibliographic Details
Published in:Brazilian journal of physics 2003-03, Vol.33 (1), p.36-54
Main Author: Santos, Raimundo R. dos
Format: Article
Language:English
Subjects:
PHYSICS, MULTIDISCIPLINARY
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Summary:We tutorially review the determinantal Quantum Monte Carlo method for fermionic systems, using the Hubbard model as a case study. Starting with the basic ingredients of Monte Carlo simulations for classical systems, we introduce aspects such as importance sampling, sources of errors, and finite-size scaling analyses. We then set up the preliminary steps to prepare for the simulations, showing that they are actually carried out by sampling discrete Hubbard-Stratonovich auxiliary fields. In this process the Green's function emerges as a fundamental tool, since it is used in the updating process, and, at the same time, it is directly related to the quantities probing magnetic, charge, metallic, and superconducting behaviours. We also discuss the as yet unresolved ‘minus-sign problem', and two ways to stabilize the algorithm at low temperatures.
ISSN:0103-9733
1678-4448
DOI:10.1590/S0103-97332003000100003