Conductance of quantum impurity models from quantum monte carlo
Abstract
The conductance of two Anderson impurity models, one with twofold and another with
fourfold degeneracy, representing two types of quantum dots, is calculated using a
world-line quantum Monte Carlo (QMC) method. Extrapolation of the imaginary time QMC
data to zero frequency yields the linear conductance, which is then compared to numerical
renormalization-group results in order to assess its accuracy. We find that the method
gives excellent results at low temperature (T TK) throughout the mixed-valence and
Kondo regimes but it is unreliable for higher temperature. © 2010 The American Physical
Society.
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Journal articlePermalink
https://hdl.handle.net/10161/4258Published Version (Please cite this version)
10.1103/PhysRevB.82.165447Publication Info
(2010). Conductance of quantum impurity models from quantum monte carlo. Physical Review B - Condensed Matter and Materials Physics, 82(16). pp. 165447. 10.1103/PhysRevB.82.165447. Retrieved from https://hdl.handle.net/10161/4258.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Harold U. Baranger
Professor of Physics
The broad focus of Prof. Baranger's group is quantum open systems at the nanoscale,
particularly the generation of correlation between particles in such systems. Fundamental
interest in nanophysics-- the physics of small, nanometer scale, bits of solid-- stems
from the ability to control and probe systems on length scales larger than atoms but
small enough that the averaging inherent in bulk properties has not yet occurred.
Using this ability, entirely unanticipated phenomena ca
Shailesh Chandrasekharan
Professor of Physics
Prof. Chandrasekharan is interested in understanding quantum field theories non-perturbatively
from first principles calculations. His research focuses on lattice formulations of
these theories with emphasis on strongly correlated fermionic systems of interest
in condensed matter, particle and nuclear physics. He develops novel Monte-Carlo algorithms
to study these problems. He is particularly excited about solutions to the notoriously
difficult <a href="http://en.wikipedia.org/wiki/Numerical_si
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