Speaker
Dr
Simone Romiti
(Uni-Bern)
Description
We propose a novel algorithm for the solution of the Schrödinger equation of SU(N) lattice gauge theories. Physics-Informed Neural Networks (PINNs) are employed to find the coupling flow of the eigenstates, starting from the strong coupling limit and evolving adiabatically towards the continuum limit at $1/g \to \infty$. For each strong-coupling eigenstate, the trained network provides a representation of the wavefunction, and during the training also its energy is learned as a parameter.
Author
Dr
Simone Romiti
(Uni-Bern)