Efficient representation of quantum many-body states with deep neural networks
Efficient representation of quantum many-body states with deep neural networks
Part of the challenge for quantum many-body problems comes from the difficulty of representing large-scale quantum states, which in general requires an exponentially large number of parameters. Neural networks provide a powerful tool to represent quantum many-body states. An important open question is what characterizes the representational power of deep …