A Boson-informed neural network for Ground States of Many-Body Schrödinger equations

Zhizhong Kong, Jerry Zhijian Yang, Cheng Yuan +1

We propose a symmetry-preserving Boson-informed neural network (BINN) for the variational Monte Carlo computation of interacting-boson ground states in continuous space. The framew…