A Physics-Informed Neural Network Scheme for Shortcuts to Adiabaticity in Three-Level Non-Hermitian Quantum Systems
We propose a physics-informed neural network (PINN) scheme for designing shortcuts to adiabaticity in a three-level non-Hermitian quantum system. The PINN is used to solve an inverse control problem in which the state amplitudes and the auxiliary driving field are learned simultaneously from the Schrödinger residual, t...