  We demonstrate the utility of physics-informed neural networks (PINNs) as
solvers for the non-relativistic, time-dependent Schr\"odinger equation. We
study the performance and generalisability of PINN solvers on the time
evolution of a quantum harmonic oscillator across varying system parameters,
domains, and energy states.
