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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. B
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