The ALF (Algorithms for Lattice Fermions) project release 1.0. Documentation for the auxiliary field quantum Monte Carlo code
Autor: | Fakher F. Assaad, M. Bercx, Florian Goth, Johannes Hofmann |
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Rok vydání: | 2017 |
Předmět: |
Computer Science::Machine Learning
Hubbard model Quantum Monte Carlo General Physics and Astronomy FOS: Physical sciences Computer Science::Digital Libraries 01 natural sciences 010305 fluids & plasmas Condensed Matter - Strongly Correlated Electrons Statistics::Machine Learning High Energy Physics - Lattice Lattice (order) 0103 physical sciences 010306 general physics Physics Quantum Physics Strongly Correlated Electrons (cond-mat.str-el) High Energy Physics - Lattice (hep-lat) Observable Fermion Computational Physics (physics.comp-ph) Square lattice lcsh:QC1-999 Auxiliary field Computer Science::Mathematical Software Ising model Quantum Physics (quant-ph) Physics - Computational Physics Algorithm lcsh:Physics |
Zdroj: | SciPost Physics, Vol 3, Iss 2, p 013 (2017) |
DOI: | 10.48550/arxiv.1704.00131 |
Popis: | The Algorithms for Lattice Fermions package provides a general code for the finite temperature auxiliary field quantum Monte Carlo algorithm. The code is engineered to be able to simulate any model that can be written in terms of sums of single-body operators, of squares of single-body operators and single-body operators coupled to an Ising field with given dynamics. We provide predefined types that allow the user to specify the model, the Bravais lattice as well as equal time and time displaced observables. The code supports an MPI implementation. Examples such as the Hubbard model on the honeycomb lattice and the Hubbard model on the square lattice coupled to a transverse Ising field are provided and discussed in the documentation. We furthermore discuss how to use the package to implement the Kondo lattice model and the $SU(N)$-Hubbard-Heisenberg model. One can download the code from our Git instance at https://alf.physik.uni-wuerzburg.de and sign in to file issues. Comment: 59 pages, 3 figures |
Databáze: | OpenAIRE |
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