Toward Joint Optimization of Circuit Depth and Training Data Size in Adaptively Grown Quantum Classifiers

arXiv:2610.12428 · quant-ph, cs.LG · Submitted 2026-10-08 · Read on arXiv

quant-ph, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Generalization — 16× in this paper · explained in 13 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes

Sources

• A semi-agnostic ansatz with variable structure for quantum machine learning

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