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A practical blueprint for plugging quantum chips into AI pipelines

Y. Mo, G. D. Su

May 18, 2026

The proposal splits quantum co-processor roles into two physically distinct modes: a stateful mode where protected qubits store reusable quantum resources and are read out non-destructively, and a stateless mode where qubits are prepared fresh per query, evolved, measured, and reset. Both modes are demonstrated through density-matrix simulations and QAOA-style circuit samplers in Qiskit. The intended role is narrow — quantum sidecars generate candidate signals for optimizer sampling, routing, or reasoning-path selection — rather than replacing classical weight storage. A speculative extension sketches quantum representations over model-control variables, not full weight tensors.
Published as Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook arXiv:2605.18031
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