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 stability of the...
Збережено в:
Дата: | 2006 |
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Автори: | , |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
Інститут фізики конденсованих систем НАН України
2006
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Назва видання: | Condensed Matter Physics |
Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/121316 |
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Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
Цитувати: | 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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irk-123456789-1213162017-06-15T03:03:08Z Adaptive kernel methods to simulate quantum phase space flow Lopez, H. Donoso, A. 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. 2006 Article 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. 1607-324X PACS: 02.70.Ns, 34.10.+x, 03.65.Xp DOI:10.5488/CMP.9.2.351 http://dspace.nbuv.gov.ua/handle/123456789/121316 en Condensed Matter Physics Інститут фізики конденсованих систем НАН України |
institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
collection |
DSpace DC |
language |
English |
description |
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. |
format |
Article |
author |
Lopez, H. Donoso, A. |
spellingShingle |
Lopez, H. Donoso, A. Adaptive kernel methods to simulate quantum phase space flow Condensed Matter Physics |
author_facet |
Lopez, H. Donoso, A. |
author_sort |
Lopez, H. |
title |
Adaptive kernel methods to simulate quantum phase space flow |
title_short |
Adaptive kernel methods to simulate quantum phase space flow |
title_full |
Adaptive kernel methods to simulate quantum phase space flow |
title_fullStr |
Adaptive kernel methods to simulate quantum phase space flow |
title_full_unstemmed |
Adaptive kernel methods to simulate quantum phase space flow |
title_sort |
adaptive kernel methods to simulate quantum phase space flow |
publisher |
Інститут фізики конденсованих систем НАН України |
publishDate |
2006 |
url |
http://dspace.nbuv.gov.ua/handle/123456789/121316 |
citation_txt |
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. |
series |
Condensed Matter Physics |
work_keys_str_mv |
AT lopezh adaptivekernelmethodstosimulatequantumphasespaceflow AT donosoa adaptivekernelmethodstosimulatequantumphasespaceflow |
first_indexed |
2023-10-18T20:39:09Z |
last_indexed |
2023-10-18T20:39:09Z |
_version_ |
1796150759568441344 |