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 |
| Теги: |
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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. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Резюме: | 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. |
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