A Deep‐Learning Approach to the Dynamics of Landau–Zenner Transitions

Volume: 4, Issue: 7
Published: May 7, 2021
Abstract
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 deep‐learning approach is introduced to simulate and predict Landau–Zenner dynamics. Data obtained from multiple Davydov Ansatz with a low...
Paper Details
Title
A Deep‐Learning Approach to the Dynamics of Landau–Zenner Transitions
Published Date
May 7, 2021
Volume
4
Issue
7
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