Improving Sample Efficiency in Peptide-HLA Binding Prediction with Hybrid Quantum-Classical Neural Networks

arXiv:2609.19642 · quant-ph, stat.ML · Submitted 2026-09-17 · Read on arXiv

quant-ph, stat.ML

Submitted: 2026-09-17

Updated: 2026-09-17

Comments: 13 pages, 8 figures

Code: https://github.com/SpinQTech/PepHLA_Interaction

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUC — 9× in this paper · explained in 2 episodes
• Sample Efficiency — 8× in this paper · explained in 4 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Quantum Circuits — 7× in this paper · explained in 2 episodes
• Ablation study — 4× in this paper · explained in 1 episode
• Feature Extraction — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Hilbert Space — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Generalizability — 2× in this paper · explained in 6 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes

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