Adaptive kernel methods to simulate quantum phase space flow

A technique for simulating quantum dynamics in phase space is discussed. It makes use of ensembles of
 classical trajectories to approximate the distribution functions and their derivatives by implementing Adaptive
 Kernel Density Estimation. It is found to improve the accuracy and s...

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Bibliographic Details
Published in:Condensed Matter Physics
Date:2006
Main Authors: Lopez, H., Donoso, A.
Format: Article
Language:English
Published: Інститут фізики конденсованих систем НАН України 2006
Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/121316
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Adaptive kernel methods to simulate quantum phase space flow / H. Lopez, A. Donoso // Condensed Matter Physics. — 2006. — Т. 9, № 2(46). — С. 351–358. — Бібліогр.: 17 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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Summary:A technique for simulating quantum dynamics in phase space is discussed. It makes use of ensembles of
 classical trajectories to approximate the distribution functions and their derivatives by implementing Adaptive
 Kernel Density Estimation. It is found to improve the accuracy and stability of the simulations compared to
 more conventional particle methods. Formulation of the method in higher dimensions is straightforward.
ISSN:1607-324X