Continuous-time quantum Monte Carlo impurity solvers

Published: 29 Nov 2019 | Version 1 | DOI: 10.17632/6b5s7sbg23.1

Description of this data

Continuous-time quantum Monte Carlo impurity solvers are algorithms that sample the partition function of an impurity model using diagrammatic Monte Carlo techniques. The present paper describes codes that implement the interaction expansion algorithm originally developed by Rubtsov, Savkin, and Lichtenstein, as well as the hybridization expansion method developed by Werner, Millis, Troyer, et al. These impurity solvers are part of the ALPS-DMFT application package and are accompanied by an i...

Title of program: dmft
Catalogue Id: AEIL_v1_0

Nature of problem
Quantum impurity models describe an atom or molecule embedded in a host material with which it can exchange electrons. They are basic to nanoscience as representations of quantum dots and molecular conductors and play an increasingly important role in the theory of "correlated electron" materials as auxiliary problems whose solution gives the "dynamical mean field" approximation to the self energy and local correlation functions.

Versions of this program held in the CPC repository in Mendeley Data
AEIL_v1_0; dmft; 10.1016/j.cpc.2010.12.050

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Experiment data files

This data is associated with the following publication:

Continuous-time quantum Monte Carlo impurity solvers

Published in: Computer Physics Communications

Latest version

  • Version 1


    Published: 2019-11-29

    DOI: 10.17632/6b5s7sbg23.1

    Cite this dataset

    Gull, Emanuel; Werner, Philipp; Fuchs, Sebastian; Surer, Brigitte; Pruschke, Thomas; Troyer, Matthias (2019), “Continuous-time quantum Monte Carlo impurity solvers ”, Mendeley Data, v1


Views: 4
Downloads: 2


Surface Science, Condensed Matter Physics, Computational Physics


SPECIAL Learn more

The files associated with this dataset are licensed under a CPC_SPECIAL licence.

What does this mean?
Please read the Licence.txt file attached to this dataset for licence terms