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    Diagonalisation of quantum observables on regular lattices and general graphs


    Moran, Niall, Kells, Graham and Vala, Jiri (2011) Diagonalisation of quantum observables on regular lattices and general graphs. Computer Physics Communications, 182 (4). pp. 1083-1092. ISSN 0010-4655

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    Abstract

    In the study of quantum mechanical systems, exact diagonalisation (ED) methods play an extremely important role. We have developed an ED code named DoQO (Diagonalisation of Quantum Observables). This code is capable of constructing and diagonalising the observables for spin 12 and spinless fermionic particles with many body interactions on arbitrary graphs using massively parallel distributed memory machines. At the same time, the code can exploit physical symmetries to reduce the size of the relevant basis set and provide useful physical information about each eigenstate. DoQO has been employed successfully to directly diagonalise systems with basis sets containing a billion elements. By exploiting symmetries it has been possible to perform calculations on systems with 36 spin 12 particles. Here we present essential background details, the structure and usage of DoQO, and a study of the performance characteristics of DoQO on different machines.
    Item Type: Article
    Additional Information: The definitive version of this article is available at doi:10.1016/j.cpc.2010.12.051 . © 2011 Elsevier B.V. All rights reserved.
    Keywords: Exact diagonalisation; Quantum observable; Distributed memory; Lanczos; Lattice symmetries;
    Academic Unit: Faculty of Science and Engineering > Mathematical Physics
    Item ID: 5548
    Identification Number: 10.1016/j.cpc.2010.12.051
    Depositing User: Dr. Jiri Vala
    Date Deposited: 19 Nov 2014 16:06
    Journal or Publication Title: Computer Physics Communications
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/5548
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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