Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment 事件

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment arXiv:2606.00741v1 Announce Type: cross Abstract: Transistor scaling is approaching a quantum-mechanical limit, as thin gate oxides induce electron leakage through quantum tunneling. Unlike conventional digital systems, AI inference can tolerate such errors provided their structure is modeled correctly. In this paper, we introduce quantum tunneling-aware machine learning (QTAML). We derive the deploymen