hybrid-classical-quantum

DeepUnfolding-Agent 论文提出一个 schema 驱动的 FastAPI 平台，将深度展开的自适应控制作为外部服务暴露，解耦控制器逻辑与领域特定执行，支持经典、量子及混合优化工作流，并经 IBM Quantum 硬件执行验证。

Proposes Parallel Quantum Feature Augmentation (PQFA), a hybrid quantum-classical framework that applies shallow variational quantum circuits to enhance fused multimodal features, outperforming classical baselines with fewer parameters.

Proposes a quantum-inspired hybrid classical-quantum framework for image classification using a mixture of experts, demonstrating improved performance and reduced failure rate on MNIST and Fashion-MNIST datasets.