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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…
quant-ph2023
Proactively incremental-learning QAOA
Lingxiao Li, Jing Li, Yanqi Song +3
Solving optimization problems with high performance is the target of existing works of Quantum Approximate Optimization Algorithm (QAOA). With this intention, we propose an advance…