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Results show that robustness claims for quantum classifiers can be audited directly from observable statistics under KRQA, and demonstrate real-device feasibility on IBM Quantum hardware.
Personalized diet recommendations can now promote sustainability without sacrificing individual preferences, thanks to a novel constraint-aware decision-making model.
