3 papers
quant-ph2026
Recent Advances in Quantum Architecture Search
Haozhen Situ, Zhimin He, Lvzhou Li
Variational quantum algorithms (VQAs) constitute a prominent framework for exploring the capabilities of near-term quantum computers. As the effectiveness of VQAs depends heavily o…
quant-ph2026
From Membership-Privacy Leakage to Quantum Machine Unlearning
Junjian Su, Runze He, Guanghui Li +4
Quantum machine learning (QML) has the potential to achieve quantum advantage for specific tasks by combining quantum computation with classical machine learning (ML). In classical…
quant-ph2025
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
Chuangtao Chen, Qinglin Zhao, MengChu Zhou +3
Discrete diffusion models represent a significant advance in generative modeling, demonstrating remarkable success in synthesizing complex, high-quality discrete data. However, to…