Sprecher
Beschreibung
At the centennial of quantum mechanics, I will survey the interface of AI × quantum physics with symmetry as the guiding theme. First, I will present work on the Ising model, which also marks its centennial, showing in the two-dimensional case that a convolutional neural network can extract phase transition signals and estimate the critical point without prior knowledge of the order parameter. Next, I will briefly touch on applications that use a Transformer with equivariant attention to semiclassical spin-fermion systems. Finally, I will introduce an extension toward quantum chromodynamics: a gauge-covariant Transformer, CASK, and design principles consistent with gauge symmetry. Building on these elements, I will discuss the horizons that AI × quantum physics can open on next-generation supercomputers.