Deep Sequence Modeling with Quantum Dynamics: Language as a Wave Function

Researchers introduce a quantum-inspired sequence modeling framework that uses complex-valued wave functions and quantum interference for language processing. The approach shows theoretical advantages over traditional recurrent neural networks by utilizing quantum dynamics and the Born rule for token probability extraction.