1 citations · 1 across the 1 of their papers we have counts for
2 papers
quant-ph2026
Empirical Scaling Laws of Quantum Vision Transformers
Yuqing Li, Fengyi Gao, Xin Jin +3
Quantum machine learning (QML) is a promising application of quantum computing, yet when and how practical learning models can achieve quantum advantage remains poorly understood.…
quant-ph2025★ 1 cited
Towards efficient quantum algorithms for diffusion probabilistic models
Yunfei Wang, Ruoxi Jiang, Yingda Fan +4
A diffusion probabilistic model (DPM) is a generative model renowned for its ability to produce high-quality outputs in tasks such as image and audio generation. However, training…