Xiaohui Ni

QSEA: Quantum Self-supervised Learning with Entanglement Augmentation

2025 · arXiv (Cornell University)

As an unsupervised feature representation paradigm, Self-Supervised Learning (SSL) uses the intrinsic structure of data to extract meaningful features without relying on manual annotation. Despite the success of SSL, there are still problems, such as …