The studies of topological phases and energy braiding of non-Hermitian models using machine learning
The studies of topological phases and energy braiding of non-Hermitian models using machine learning
Abstract Complex-energy bands in non-Hermitian systems can exhibit diverse topological braiding, yet identifying these braids remains challenging and has garnered limited attention in previous studies. In this work, we explore energy braiding in one-dimensional non-Hermitian systems through both unsupervised and supervised learning techniques. For unsupervised learning, we apply diffusion maps …