Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python program that generates the correct experimental setup for arbitrary system sizes. Right: manually designing an experiment is fast for small particle numbers, but the computational cost grows rapidly with system size. (Courtesy: CC BY 4.0/ Nat Mach Intell 10.1038/s42256-025-01153-0)" title="Click to open image in popup" href="https://physicsworld.com/wp-content/uploads/2026/04/21-04-26-mgg-metadesign-fig1.jpg"> Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python program that generates the correct experimental setup for arbitrary system sizes. Right: manually designing an experiment is fast for small particle numbers, but the computational cost grows rapidly with system size.…