Empowering deep neural quantum states through efficient optimization
Computing the ground state of interacting quantum matter is a long-standing challenge,
especially for complex two-dimensional systems. Recent developments have highlighted the …
especially for complex two-dimensional systems. Recent developments have highlighted the …
Efficient Optimization of Variational Autoregressive Networks with Natural Gradient
Estimating free energy is a fundamental problem in statistical mechanics. Recently, machine-
learning-based methods, particularly the variational autoregressive networks (VANs), have …
learning-based methods, particularly the variational autoregressive networks (VANs), have …