Scalable neural networks for the efficient learning of disordered quantum systems
Scalable neural networks for the efficient learning of disordered quantum systems
Supervised machine learning is emerging as a powerful computational tool to predict the properties of complex quantum systems at a limited computational cost. In this article, we quantify how accurately deep neural networks can learn the properties of disordered quantum systems as a function of the system size. We implement …