Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook

In three linesProposes quantum sidecar architectures for hybrid AI training and inference. Two operating modes: stateful protected-register mode (QND readout with ancilla) and stateless reset-and-reprepare mode (QAOA-style circuits). Simulations on 2/4/6/8 protected qubits. Positions quantum sidecars as bounded signal generators for optimization, expert selection, and routing.

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