GoKawiilAI frameworks now generate viable physics experiment designs, researchers report
A review of recent physics literature traces how AI tools like Melvin, Tachikoma and PyTheus have moved from proposing quantum optics setups on paper to producing configurations that experimentalists later built and confirmed in the lab. These systems use approaches ranging from genetic algorithms to diffusion models and neural network surrogates to search vast spaces of possible experimental arrangements, particularly in quantum information and photonics.