Quantum-Enhanced Cognitive AIoT for Real-Time Adaptive Decision-Making in Smart Infrastructure

The proliferation of smart infrastructure demands intelligent systems capable of real-time, context-aware decision-making under dynamic conditions. This research proposes a novel hybrid framework—Quantum-Enhanced Cognitive AIoT (Q-CAIoT)—that integrates cognitive artificial intelligence of things (CAIoT) with quantum computing to significantly enhance adaptive decision-making processes. Leveraging quantum algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) alongside federated learning of cognitive agents distributed at the edge, the system achieves superior performance in optimization speed, fault prediction accuracy, and energy efficiency.