AIBullisharXiv – CS AI · 7h ago7/10
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Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment
Researchers introduce Quantum Tunneling-Aware Machine Learning (QTAML), a physics-based approach to model electron leakage errors in AI chips as transistors scale toward quantum limits. The method achieves 95% accuracy while reducing error-correction overhead by 3.4x to 33.6x compared to conventional approaches, with no retraining or inference-time costs.