Machine learning for bounce calculation
High Energy Physics - Theory
2018-06-12 v3 High Energy Physics - Phenomenology
Abstract
We study the possibility of using machine learning for the calculation of the bounce action in quantum tunneling. Adopting supervised learning, we train neural network to give the bounce action from a given potential. It is found that, for one-dimensional tunneling, even a simple neural network performs at a percent level.
Keywords
Cite
@article{arxiv.1805.12153,
title = {Machine learning for bounce calculation},
author = {Ryusuke Jinno},
journal= {arXiv preprint arXiv:1805.12153},
year = {2018}
}
Comments
8 pages, 11 figures