QuPID: Quantum Parameter-Efficient Input-Dependent Retrieval Adaptation for Medical RAG

arXiv:2609.33351 · cs.AI, cs.LG · Submitted 2026-09-27 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Adaptation — 103× in this paper · explained in 1 episode
• Fidelity — 20× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• RAG — 9× in this paper · explained in 3 episodes
• Degeneracy — 7× in this paper · explained in 3 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Cosine Similarity — 6× in this paper · explained in 3 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Quantum Circuits — 6× in this paper · explained in 2 episodes
• Entanglement — 5× in this paper · explained in 4 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• alpha — 5× in this paper · explained in 1 episode
• Conference on Knowledge Discovery and Data Mining — 4× in this paper
• Hallucination — 4× in this paper · explained in 3 episodes
• Hilbert Space — 4× in this paper · explained in 2 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Parameter Efficiency — 3× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 3× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• International Conference on Machine Learning — 2× in this paper
• Trace Distance — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 15 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization Bounds — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• International Conference on Learning Representations — 1× in this paper
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• PennyLane: Automatic differentiation of hybrid quantum-classical computations
• Better than classical? The subtle art of benchmarking quantum machine learning models

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