Learning eigenstates of quantum many-body Hamiltonians within the symmetric subspaces using neural network quantum states

Shuai-Tin. Bao, Dian Wu, Pan Zhang +1

The exploration of neural network quantum states has become widespread in the studies of complicated quantum many-body systems. However, achieving high precision remains challengin…