Hakop Pashayan

On the Trainability and Classical Simulability of Learning Matrix Product States Variationally

We prove that using global observables to train the matrix product state ansatz results in the vanishing of all partial derivatives, also known as barren plateaus, while using local observables avoids this. This ansatz is widely used in quantum machine learning for learning weakly entangled state ap…