Understanding and eliminating spurious modes in variational Monte Carlo using collective variables
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables
The use of neural network parametrizations to represent the ground state in variational Monte Carlo (VMC) calculations has generated intense interest in recent years. However, as we demonstrate in the context of the periodic Heisenberg spin chain, this approach can produce unreliable wave function approximations. One of the most obvious …