Researchers release DeepUnfolding Agent, a quantum-classical control API
Researchers introduced DeepUnfolding Agent, a schema-driven FastAPI platform designed to decouple adaptive control logic from task-specific training scripts in machine learning, federated learning, and hybrid quantum-classical systems. The framework acts as an external service, allowing external executors to register control strategies, submit diagnostic data, receive bounded control actions,…
Key points
- DeepUnfolding Agent decouples adaptive control logic from task-specific scripts via a FastAPI platform
- Supports classical, quantum-aware, and hybrid workflows with Qiskit Aer and IBM Quantum hardware
- Validated across finance, healthcare, genomics, and transport with unit, API, and quantum tests
The system separates controller intelligence from domain-specific execution through components like a strategy registry, diagnostic-to-state adapter, safety guard, and Docker-based deployment. Validation includes unit, API, safety, and quantum execution tests across finance, healthcare, genomics, and transport use cases. The authors claim it enables reusable, traceable, and hardware-portable adaptive control for heterogeneous optimization workflows, framing it as a step toward safer and more modular quantum-classical workflows.
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