QINA: Quantum-Inspired Nonlinear Adapters for Pretrained Vision Models

arXiv:2609.29592 · cs.CV, cs.AI · Submitted 2026-09-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-01

Updated: 2026-09-01

Terminology

• Adaptation — 27× in this paper · explained in 1 episode
• Alignment — 15× in this paper · explained in 1 episode
• Fine-Tuning — 13× in this paper · explained in 5 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Accuracy — 8× in this paper · explained in 1 episode
• Domain Shift — 8× in this paper · explained in 4 episodes
• Aggregation — 6× in this paper · explained in 1 episode
• Quantum Circuits — 5× in this paper · explained in 2 episodes
• Effective Rank — 4× in this paper
• Quantum-Inspired Nonlinear Adapters — 4× in this paper
• Transfer Learning — 4× in this paper · explained in 10 episodes
• Abstraction — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Centered Kernel Alignment — 2× in this paper
• Fisher Discriminant Ratio — 2× in this paper
• Representation Learning — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptivity — 1× in this paper · explained in 1 episode
• Centered Kernel Alignment (CKA) — 1× in this paper · explained in 2 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Parameter-Efficient Fine-Tuning (PEFT) — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Standardized Benchmarks — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Quantum Vision Transformers
• Enhancing Low-Rank Adaptation with Structured Nonlinear Transformations
• Quantum-enhanced unsupervised image segmentation for medical images analysis
• A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
• HQViT: Hybrid Quantum Vision Transformer for Image Classification

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