A Theory of Finite-Noise Optima and Generalization in Quantum Machine Learning

arXiv:2608.24229 · quant-ph, cs.LG · Submitted 2026-08-25 · Read on arXiv

quant-ph, cs.LG

Submitted: 2026-08-25

Updated: 2026-08-25

Code: https://github.com/dongsnaq/Finite-Noise-Generalization-QML

Terminology

Generalization — 69× in this paper · explained in 13 episodes
Regularization — 25× in this paper · explained in 3 episodes
Ablation — 11× in this paper · explained in 1 episode
Adam — 6× in this paper · explained in 2 episodes
Quantum Circuits — 6× in this paper · explained in 2 episodes
Fisher Information — 3× in this paper · explained in 3 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Trace — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Bayesian Inference — 1× in this paper · explained in 5 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Generalization Bounds — 1× in this paper · explained in 2 episodes
Hilbert Space — 1× in this paper · explained in 2 episodes

Sources

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