Andrea Gasparini

Watching Quantum Models Think: Hilbert-Space Interpretability in Quantum Transformer Blocks

Deep learning models are powerful but opaque. As quantum machine learning matures, the field faces a defining choice: build quantum models that are equally opaque, or exploit the mathematical structure of quantum mechanics to make them inherently interpretable. We show that the latter is possible. By tracking quantum m...