AI RESEARCH

Cloning is as Hard as Learning for Stabilizer States

arXiv CS.LG

ArXi:2604.15269v1 Announce Type: cross The impossibility of simultaneously cloning non-orthogonal states lies at the foundations of quantum theory. Even when allowing for approximation errors, cloning an arbitrary unknown pure state requires as many initial copies as needed to fully learn the state. Rather than arbitrary unknown states, modern quantum learning theory often considers structured classes of states and exploits such structure to develop learning algorithms that outperform general-state tomography.