An efficient backward Monte Carlo estimator for solving of a quantum-kinetic equation with memory kernel

An efficient backward Monte Carlo (MC) estimator and a corresponding algorithm for solving a quantum-kinetic equation describing an ultrafast semiconductor carrier transport is proposed and studied. In order to obtain the electron energy distribution for long evolution times, variance reduction techniques are applied. The balancing of errors (both systematic and stochastic) and computational cost are investigated.

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Year of publication:	2002
Authors:	Gurov, T.V. ; Whitlock, P.A.
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 60.2002, 1, p. 85-105
Publisher:	Elsevier
Subject:	Monte Carlo estimator \| Monte Carlo algorithm \| Quantum-kinetic equation \| Electron–phonon quantum transport \| Random number generator

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010748730