Please use this identifier to cite or link to this item: https://doi.org/10.1103/PhysRevE.86.021109
Title: Noncanonical statistics of a spin-boson model: Theory and exact Monte Carlo simulations
Authors: Lee, C.K. 
Cao, J.
Gong, J. 
Issue Date: 10-Aug-2012
Citation: Lee, C.K., Cao, J., Gong, J. (2012-08-10). Noncanonical statistics of a spin-boson model: Theory and exact Monte Carlo simulations. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 86 (2) : -. ScholarBank@NUS Repository. https://doi.org/10.1103/PhysRevE.86.021109
Abstract: Equilibrium canonical distribution in statistical mechanics assumes weak system-bath coupling (SBC). In real physical situations this assumption can be invalid, and equilibrium quantum statistics of the system may be noncanonical. By exploiting both polaron transformation and perturbation theory in a spin-boson model, an analytical treatment is advocated to study noncanonical statistics of a two-level system at arbitrary temperature and for arbitrary SBC strength, yielding theoretical results in agreement with exact Monte Carlo simulations. In particular, the eigen-representation of system's reduced density matrix is used to quantify noncanonical statistics as well as the quantumness of the open system. For example, it is found that irrespective of SBC strength, noncanonical statistics enhances as temperature decreases but vanishes at high temperature. © 2012 American Physical Society.
Source Title: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
URI: http://scholarbank.nus.edu.sg/handle/10635/117090
ISSN: 15393755
DOI: 10.1103/PhysRevE.86.021109
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

18
checked on Dec 4, 2018

WEB OF SCIENCETM
Citations

17
checked on Dec 4, 2018

Page view(s)

27
checked on Dec 7, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.