A deep-learning approach to the dynamics of Landau-Zener transitions

• Main Authors: Gao, Linliang, Sun, Kewei, Zheng, Huiru, Zhao, Yang
• 其他作者: School of Materials Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Engineering::Materials; Back Propagation Neural Networks; Convolutional Neural Networks
• 在線閱讀: https://hdl.handle.net/10356/150303
• 機構: Nanyang Technological University

Traditional approaches to the dynamics of the open quantum systems with high precision are often resource intensive. How to improve computation accuracy and efficiency for target systems is an extremely difficult challenge. In this work, combining unsupervised and supervised learning algorithms, a d...