IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-36183-1_11.html
   My bibliography  Save this book chapter

Monte Carlo Simulations of Strongly Correlated and Frustrated Quantum Systems

In: High Performance Computing in Science and Engineering ’06

Author

Listed:
  • C. Lavalle

    (Universität Stuttgart, Institut für Theoretische Physik III)

  • S. R. Manmana

    (Universität Stuttgart, Institut für Theoretische Physik III
    Philipps Universität Mar burg, Fachbereich Physik)

  • S. Wessel

    (Universität Stuttgart, Institut für Theoretische Physik III)

  • A. Muramatsu

    (Universität Stuttgart, Institut für Theoretische Physik III)

Abstract

Summary We study the dynamics of the 1D t-J model with nearest neighbor (n.n) interaction at finite doping using the hybrid-loop quantum Monte Carlo. On the basis of the spectral functions of the 1/r 2 t-J model the excitation content for the one- and two-particle spectral functions for the n.n. t-J model are obtained from the Bethe-Ansatz solution and compared with the Monte Carlo results. We find that the procedure describes with extremely hight accuracy the excitation of the n.n. t-J model. We furthermore use quantum Monte Carlo simulations to analyze the phases of ultra-cold bosonic atom gases in optical lattices, in particular in the presence of frustrated and random interaction strength. We find that such systems display interesting quantum phases, such as supersolid and Bose-glass phases, and discuss possible experimental setups to examine such phenomena.

Suggested Citation

  • C. Lavalle & S. R. Manmana & S. Wessel & A. Muramatsu, 2007. "Monte Carlo Simulations of Strongly Correlated and Frustrated Quantum Systems," Springer Books, in: Wolfgang E. Nagel & Willi Jäger & Michael Resch (ed.), High Performance Computing in Science and Engineering ’06, pages 137-151, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-36183-1_11
    DOI: 10.1007/978-3-540-36183-1_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-36183-1_11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.