Physics-Informed Neural Networks as Solvers for the Time-Dependent Schr\'odinger Equation

Autor:	Shah, Karan, Stiller, Patrick, Hoffmann, Nico, Cangi, Attila
Rok vydání:	2022
Předmět:	Quantum Physics
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2210.12522 Zobrazit plný text záznamu View this record from Arxiv