⚛️ Physics

📷 CVPR2026 · 1 paper notes

QKD: Quantum-Gated Task-interaction Knowledge Distillation for Class-Incremental Learning

QKD introduces quantum gating into class-incremental learning (CIL), modeling sample-task correlations in high-dimensional Hilbert space via parameterized quantum circuits to guide cross-task knowledge distillation during training and adaptive adapter fusion during inference, achieving state-of-the-art performance on 5 benchmarks.