Proposes quantum sidecar architectures with stateful protected registers and stateless reset-reprepare modes as bounded signal generators for hybrid AI training and inference, supported by small-scale Qiskit simulations.
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Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook
Proposes quantum sidecar architectures with stateful protected registers and stateless reset-reprepare modes as bounded signal generators for hybrid AI training and inference, supported by small-scale Qiskit simulations.