Softmax attention has an exact quantum mechanical interpretation where attention scores become measurement statistics and the softmax function emerges naturally from quantum probability rules, opening a path to quantum implementations of transformers.
This paper shows how softmax attention in transformers can be exactly implemented using quantum computing. The researchers map each component of attention—from computing scores to aggregating values—to quantum operations like measurements and rotations. They prove this works mathematically and verify the core logic in formal proof software.