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Distributional exact diagonalization formalism for quantum impurity models
University of Gothenburg, Department of Physics, Gothenburg, Sweden.
University of Gothenburg, Department of Physics, Gothenburg, Sweden.ORCID iD: 0000-0002-7263-4403
2012 (English)In: Physical Review B, ISSN 2469-9950, E-ISSN 2469-9969, Vol. 86, no 11, article id 115111Article in journal (Refereed) Published
Abstract [en]

We develop a method for calculating the self-energy of a quantum impurity coupled to a continuous bath by stochastically generating a distribution of finite Anderson models that are solved by exact diagonalization, using the noninteracting local spectral function as a probability distribution for the sampling. The method enables calculation of the full analytic self-energy and single-particle Green's function in the complex frequency plane, without analytic continuation, and can be used for both finite and zero temperature at arbitrary fillings. Results are in good agreement with imaginary frequency data from continuous-time quantum Monte Carlo calculations for the single-impurity Anderson model and the two-orbital Hubbard model within dynamical mean-field theory (DMFT) as well as real frequency data for self-energy of the single-band Hubbard model within DMFT using the numerical renormalization group. The method should be applicable to a wide range of quantum impurity models and particularly useful when high-precision real frequency results are sought.

Place, publisher, year, edition, pages
American Physical Society, 2012. Vol. 86, no 11, article id 115111
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:oru:diva-90016DOI: 10.1103/PhysRevB.86.115111ISI: 000308528200003Scopus ID: 2-s2.0-84866425722OAI: oai:DiVA.org:oru-90016DiVA, id: diva2:1531642
Note

Funding Agencies:

Swedish Research Council European Commission 2008-4242 

Mathematics-Physics Platform (MP2) at the University of Gothenburg  

Available from: 2021-02-26 Created: 2021-02-26 Last updated: 2021-02-26Bibliographically approved

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Strand, Hugo

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