2 papers
quant-ph2025
Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations
Zhiyuan Wang, Chunlin Feng, Christopher Poon +5
Quantum computing promises advantages over classical computing. The manufacturing of quantum hardware is in the infancy stage, called the Noisy Intermediate-Scale Quantum (NISQ) er…
cs.LG2024
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
Qian Ma, Haitao Mao, Jingzhe Liu +5
Self-supervised learning~(SSL) is essential to obtain foundation models in NLP and CV domains via effectively leveraging knowledge in large-scale unlabeled data. The reason for its…