
The field of deep machine learning has experienced tremendous growth in recent years, revolutionizing various domains. However, the interpretability of deep learning models, especially neural networks, has been a longstanding challenge. In order to address this issue, researchers have turned to tensor networks, which offer a promising “white-box” alternative to traditional machine learning methods. By leveraging quantum concepts and methods,








