This paper proposes AGI-Quantum Orchestrator v8.2.0 (AGI-QO), an execution platformthat integrates autonomous control of real quantum hardware (qubit selection, noise-aware planning,experiment-sequence generation, and result assimilation) with classical-side inference andcandidate generation powered by quantum-inspired high-performance computing (QI-Attn/DSBQT).The goal of AGI-QO is to make an engineering-feasible closed loop in which an AGIplans, executes, assimilates, and re-plans quantum experiments under the constraints of realdevices (noise, calibration drift, cost, and queueing).The contributions of this paper are fourfold: (i) an operational design that integrates QubitSelector and Aurora-DD (dynamical decoupling) into experiment pipelines such as VQE/QAOA,and enables evaluation via Mode A/B (without/with compensation); (ii) a Tri-Physical Layer(Storage/Transfer/Execution) that abstracts quantum resources and makes execution frequency,retries, and cost manageable; (iii) an auditable DM/EM separation and Event Sourcing-basedlogging that balances self-improvement with operational safety; and (iv) a quantum-inspiredHPC module (QI-Attn extended by DS-BQT) that performs candidate generation, interpretation,and uncertainty diagnosis using a dual spacetime representation (facts vs. hypotheses).Additionally, we clarify the relationship between this paper and the companion AGI-QO v8.2.1Design Document, which provides implementation details, technical constraint resolutions, andexploratory extensions. Experimental results are out of scope; instead, we provide a reproducibleevaluation plan and a logging specification intended as a reference for subsequent empirical studies
Futoshi Hamanoue (Thu,) studied this question.