Hierarchical Supervisory Control as an Architectural Stabilization Framework for Abstract Quantum Systems

This paper proposes a recursive supervisory control architecture for quantum systems, presenting a system-level framework for stabilizing hybrid quantum-classical computation through adaptive feedback and orchestration layers. The work is framed as an architectural hypothesis supported by structured simulation results, without claims of new physics or hardware validation. The framework explores collapse-aware supervisory control, recursive orchestration dynamics, and bounded feedback models as a potential pathway toward scalable quantum system management. The paper includes formalism, simulation methodology, validation artefacts, and limitations, and is intended as a foundation for further experimental investigation and system-level research in quantum computing architectures. This work is released as a research hypothesis and does not constitute a claim of physical quantum computing capability.