Authentication in quantum-aware communication settings requires mechanisms that verify user legitimacy while also assessing whether the communication channel exhibits excessive disturbance. This paper presents QIAP, a stateful hybrid framework that combines classical commitment-based challenge-response authentication w...
O. Siddiqui, Nouhaila Innan, Hira Zaheer et al.· 0 citations
Large language models (LLMs) have shown strong results in classical code generation and are increasingly used to write the unit tests that safeguard that code. Whether they can do the same for quantum software is less clear, because quantum programs are probabilistic, depend on numerical tolerances, and are judged by d...
Meriem Terki, Nouhaila Innan, Ming-Hao Shao et al.· 0 citations
Q-PhotoMarket is presented, a systematic design space exploration (DSE) framework for photonic hybrid quantum neural networks (HQNNs) applied to financial market prediction and shows consistent architectural patterns across financial markets, identifies robust high-performing designs, and demonstrates competitive perfo...
Alberto Marchisio, Hanzalah Mohamed Siraj, Muhammad Kashif et al.· 0 citations
Financial fraud detection is challenged by decentralized data, severe class imbalance, and privacy constraints. This paper presents QuantumChain, a secure Quantum Federated Learning (QFL) framework that combines hybrid quantum-classical neural networks, encrypted federated aggregation, blockchain-based auditability, an...
Epameinondas Douros, Konstantinos Dalampekis, Nouhaila Innan et al.· 0 citations
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