SU(N) eigenstates with Physics-Informed Neural Networks

Talk at ECT* workshop on Multi-canonical methods and lattice field theory

Information about my talk

I gave a talk at ECT* in Trento about my recent arxiv submission 2510.26904. I discussed how one can perform an adiabatic learning of a Physics-Informed Neural Network in order to find the renormalization flow of the eigenfunctions and energies of a SU(N) lattice gauge theory.