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quant-ph2026
Privacy Implies Stability: Information-Theoretic Generalization Bounds for Quantum Learning
Ayanava Dasgupta, Naqueeb Ahmad Warsi, Masahito Hayashi
We develop an information-theoretic framework connecting stability, privacy, and generalization for quantum learning algorithms. Learning procedures are modeled as quantum instrume…
quant-ph2026
Quantum Information Ordering and Differential Privacy
Naqueeb Ahmad Warsi, Ayanava Dasgupta, Masahito Hayashi
We study quantum differential privacy (QDP) by defining a notion of the order of informativeness between pairs of quantum states. In particular, we show that if the hypothesis test…
quant-ph2025
Generalization Bounds for Quantum Learning via Rényi Divergences
Naqueeb Ahmad Warsi, Ayanava Dasgupta, Masahito Hayashi
This work advances the theoretical understanding of quantum learning by establishing a new family of upper bounds on the expected generalization error of quantum learning algorithm…