The example they try it on is a quantum harmonic oscillator, i.e. the potential V(x) is just the squared norm of x. That's analytically solvable. Also,
> in the case of the Schro ̀ˆdinger equation, due to the separable nature of its network structure, we employ a separate neural network for each dimension.
which doesn't sound very general. Admittedly in my quick skim of this paper I didn't follow much.
> in the case of the Schro ̀ˆdinger equation, due to the separable nature of its network structure, we employ a separate neural network for each dimension.
which doesn't sound very general. Admittedly in my quick skim of this paper I didn't follow much.