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-Zitierstil (17. Ausg.)Mo, Y., und 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-Zitierstil (9. Ausg.)Mo, Y., und 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.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.