Efficient implementation of the continuous-time hybridization expansion quantum impurity solver

Published: 29 Nov 2019 | Version 1 | DOI: 10.17632/vkck5twd22.1
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Description of this data

Abstract
Strongly correlated quantum impurity problems appear in a wide variety of contexts ranging from nanoscience and surface physics to material science and the theory of strongly correlated lattice models, where they appear as auxiliary systems within dynamical mean-field theory. Accurate and unbiased solutions must usually be obtained numerically, and continuous-time quantum Monte Carlo algorithms, a family of algorithms based on the stochastic sampling of partition function expansions, perform ...

Title of program: ct-hyb
Catalogue Id: AEOL_v1_0

Nature of problem
Quantum impurity models were originally introduced to describe a magnetic transition metal ion in a nonmagnetic host metal. They are widely used today. In nanoscience they serve as representations of quantum dots and molecular conductors. In condensed matter physics, they are playing an increasingly important role in the description of strongly correlated electron materials, where the complicated many-body problem is mapped onto an auxiliary quantum impurity model in the context of dynamical mea ...

Versions of this program held in the CPC repository in Mendeley Data
AEOL_v1_0; ct-hyb; 10.1016/j.cpc.2012.12.013

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:

Efficient implementation of the continuous-time hybridization expansion quantum impurity solver

Published in: Computer Physics Communications

Latest version

  • Version 1

    2019-11-29

    Published: 2019-11-29

    DOI: 10.17632/vkck5twd22.1

    Cite this dataset

    Hafermann, Hartmut; Werner, Philipp; Gull, Emanuel (2019), “Efficient implementation of the continuous-time hybridization expansion quantum impurity solver ”, Mendeley Data, v1 http://dx.doi.org/10.17632/vkck5twd22.1

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Categories

Surface Science, Condensed Matter Physics, Computational Physics

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