Approximating quantum many-body wave functions using artificial neural networks
Approximating quantum many-body wave functions using artificial neural networks
In this paper, we demonstrate the expressibility of artificial neural networks (ANNs) in quantum many-body physics by showing that a feed-forward neural network with a small number of hidden layers can be trained to approximate with high precision the ground states of some notable quantum many-body systems. We consider the …