Preprint
Aug 2026
A Theory of Finite-Noise Optima and Generalization in Quantum Machine Learning
Quantum noise is expected to degrade quantum machine learning by driving circuits away from their noiseless implementations. Yet recent studies show moderate noise can reduce testing error, a behavior unexplained by weak-noise perturbative error accumulation or strong-noise trainability collapse. Here we develop a stat...
Zi-Yu Zhang, Zikang Jia, Xiao-Song Li et al.
· 1 citation