Applications of neural networks to dynamics simulation of Landau-Zener transitions

• Main Authors: Yang, Bianjiang, He, Baizhe, Wan, Jiajun, Kubal, Sharvaj, Zhao, Yang
• 其他作者: School of Materials Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Materials; Landau-Zener; Neural Network
• 在線閱讀: https://hdl.handle.net/10356/155336

We simulate the dynamics of a qubit-oscillator system obeying the Landau-Zener (LZ) model, by employing the nonlinear autoregressive neural network and the long short-term memory neural network. Initially, time-dependent transition probability of the LZ model is obtained by the Dirac-Frenkel time de...