IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-69182-2_51.html
   My bibliography  Save this book chapter

Quantum Monte Carlo Studies of Strongly Correlated Electron Systems

In: High Performance Computing in Science and Engineering, Garching/Munich 2007

Author

Listed:
  • S. Hochkeppel

    (Universität Würzburg, Institut für Theoretische Physik und Astrophysik)

  • T. C. Lang
  • C. Brünger
  • F. F. Assaad
  • W. Hanke

Abstract

Electronic correlations are at the heart of modern solid state physics. The interest lies in emergent collective phenomena which appears at low energy scales and which often originates from competing interactions. In this article, we summarize three research subjects where the effects of correlations dominate and can be elucidated with the combined use of supercomputers and state-of-the-art stochastic algorithms. (i) Cluster methods for models of high-T c cuprates are very promising but need to be generalized to efficiently compute two-particle properties. This aspect is essential for comparison with experiment but also for very understanding of the physics. (ii) Quantum phase transition between broken symmetry states are generically of first order, but need not be. In particular mechanisms in which novel elementary excitations occur at the critical point can generate continuous transitions, between ordered states. In the past years there has been an intensive search for models showing such behavior, in the ultimate aim of understanding if and under what circumstances such exotic phenomena can occur. (iii) Integer one-dimensional spin systems are known to be gap-full and characterized by a hidden order parameter. Such systems can be realized by ferromagnetically coupling spin-1/2 antiferromagnetic chains to form a ladder system. It is known the spin gap grows linearly with the ferromagnetic coupling. We report on aspects of simulations which show that twisting the ladder introduces a novel emergent energy scale which radically alters this behavior.

Suggested Citation

  • S. Hochkeppel & T. C. Lang & C. Brünger & F. F. Assaad & W. Hanke, 2009. "Quantum Monte Carlo Studies of Strongly Correlated Electron Systems," Springer Books, in: Siegfried Wagner & Matthias Steinmetz & Arndt Bode & Matthias Brehm (ed.), High Performance Computing in Science and Engineering, Garching/Munich 2007, pages 669-686, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-69182-2_51
    DOI: 10.1007/978-3-540-69182-2_51
    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

    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:978-3-540-69182-2_51. 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.