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.
Chicago Style (17th ed.) CitationMo, Y., and 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.
MLA (9th ed.) CitationMo, Y., and 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.
Warning: These citations may not always be 100% accurate.