3 papers
quant-ph2025
Quantum Knowledge Distillation for Large Language Models
Lingxiao Li, Yihao Wang, Jiacheng Fan +4
As foundational tools in natural language processing, Large Language Models (LLMs) have immense parameter scales, which makes deployment and inference increasingly prohibitive, esp…
quant-ph2025
QSEA: Quantum Self-supervised Learning with Entanglement Augmentation
Lingxiao Li, Xiaohui Ni, Jing Li +2
As an unsupervised feature representation paradigm, Self-Supervised Learning (SSL) uses the intrinsic structure of data to extract meaningful features without relying on manual ann…
quant-ph2025
Quantum Multi-view Kernel Learning with Local Information
Jing Li, Yanqi Song, Sujuan Qin +1
Kernel methods serve as powerful tools to capture nonlinear patterns behind data in machine learning. The quantum kernel, integrating kernel theory with quantum computing, has attr…