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.
@article{arxiv.2210.12522,
title = {Physics-Informed Neural Networks as Solvers for the Time-Dependent Schr\"odinger Equation},
author = {Karan Shah and Patrick Stiller and Nico Hoffmann and Attila Cangi},
journal= {arXiv preprint arXiv:2210.12522},
year = {2022}
}