By replacing softmax attention with quantum Born measurements, you get a transformer where word contributions to predictions are mathematically exact and sum perfectly to the output, enabling perfect interpretability while maintaining competitive accuracy.
This paper builds a transformer where attention uses quantum Born rule mechanics (|⟨q|k⟩|⁴) instead of softmax, making word contributions to predictions mathematically exact and verifiable.