Mo, Y., & Su, G. D. (2026). Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook.
Style de citation Chicago (17e éd.)Mo, Y., et G. D. Su. Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook. 2026.
Style de citation MLA (9e éd.)Mo, Y., et G. D. Su. Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook. 2026.
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