IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v90y2017i5d10.1140_epjb_e2017-80063-2.html
   My bibliography  Save this article

Comparison of the iterated equation of motion approach and the density matrix formalism for the quantum Rabi model

Author

Listed:
  • Mona Kalthoff

    (Lehrstuhl für Theoretische Physik I)

  • Frederik Keim

    (Lehrstuhl für Theoretische Physik I)

  • Holger Krull

    (Lehrstuhl für Theoretische Physik I)

  • Götz S. Uhrig

    (Lehrstuhl für Theoretische Physik I)

Abstract

The density matrix formalism and the equation of motion approach are two semi-analytical methods that can be used to compute the non-equilibrium dynamics of correlated systems. While for a bilinear Hamiltonian both formalisms yield the exact result, for any non-bilinear Hamiltonian a truncation is necessary. Due to the fact that the commonly used truncation schemes differ for these two methods, the accuracy of the obtained results depends significantly on the chosen approach. In this paper, both formalisms are applied to the quantum Rabi model. This allows us to compare the approximate results and the exact dynamics of the system and enables us to discuss the accuracy of the approximations as well as the advantages and the disadvantages of both methods. It is shown to which extent the results fulfill physical requirements for the observables and which properties of the methods lead to unphysical results.

Suggested Citation

  • Mona Kalthoff & Frederik Keim & Holger Krull & Götz S. Uhrig, 2017. "Comparison of the iterated equation of motion approach and the density matrix formalism for the quantum Rabi model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 90(5), pages 1-14, May.
  • Handle: RePEc:spr:eurphb:v:90:y:2017:i:5:d:10.1140_epjb_e2017-80063-2
    DOI: 10.1140/epjb/e2017-80063-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/e2017-80063-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1140/epjb/e2017-80063-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Solid State and Materials;

    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:eurphb:v:90:y:2017:i:5:d:10.1140_epjb_e2017-80063-2. 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.