REAL

The Monte Carlo wave-function method: A robust adaptive algorithm and a study in convergence

Kornyik, M. and Vukics, A. (2019) The Monte Carlo wave-function method: A robust adaptive algorithm and a study in convergence. COMPUTER PHYSICS COMMUNICATIONS, 238. pp. 88-101. ISSN 0010-4655

[img] Text
Final version 1-s2.0-S0010465518304314-main.pdf - Published Version
Restricted to Registered users only

Download (1MB)

Abstract

We present a stepwise adaptive-timestep version of the Quantum Jump (Monte Carlo wave-function) algorithm. Our method has proved to remain robust even for problems where the integrating implementation of the Quantum Jump method is numerically problematic. The only specific parameter of our algorithm is the single a priory parameter of the Quantum Jump method, the maximal allowed total jump probability per timestep. We study the convergence of ensembles of trajectories to the solution of the full master equation as a function of this parameter. This study is expected to pertain to any possible implementation of the Quantum Jump method.

Item Type: Article
Subjects: Q Science / természettudomány > QC Physics / fizika
Depositing User: Dr. András Vukics
Date Deposited: 20 Sep 2019 09:34
Last Modified: 20 Sep 2019 09:34
URI: http://real.mtak.hu/id/eprint/100067

Actions (login required)

Edit Item Edit Item