Quantum AIoT Framework for Cognitive Business Optimization: A Hybrid Quantum-Classical Approach for Real-Time Decision-Making

In the era of Industry 5.0, businesses require decision-making capabilities that are not only fast but also context-aware and adaptive to volatile operational environments. Traditional Artificial Intelligence of Things (AIoT) systems—despite their automation potential—face performance bottlenecks in solving large-scale optimization problems in real time. The Cognitive Internet of Things (CIoT) introduces semantic understanding and contextual reasoning, but classical computing infrastructures limit its scalability.

在工业5.0（Industry 5.0）时代，企业亟需兼具快速响应、情境感知能力且可适配波动多变运营环境的决策能力。传统人工智能物联网（Artificial Intelligence of Things, AIoT）系统尽管具备自动化应用潜力，但在实时求解大规模优化问题时存在性能瓶颈。认知物联网（Cognitive Internet of Things, CIoT）引入了语义理解与情境推理能力，但其可扩展性受到经典计算基础设施的限制。