Optimizing ZX-diagrams with deep reinforcement learning
ZX-diagrams are a powerful graphical language for the description of quantum processes with applications in fundamental quantum mechanics, quantum circuit optimization, tensor network simulation, and many more.The utility of read more ZX-diagrams relies on a set of local transformation rules that can be applied to them without changing the underlyi