Research on Variational Monte Carlo using Neural Networks
Variational Monte Carlo with 1 parameter. Uses sympy's symbolic differentiation for the vmc.
Variational Monte Carlo with an arbitrary number of parameters. Uses sympy's symbolic differentiation.
Variational Monte Carlo with an arbitrary number of parameters, using jax's autodifferentiation instead of symbolic differentiation.
Many particle potential VMC for an arbitrary number of parameters. Uses jax's autodifferentiation.
Single particle neural network ansatz using jax.