用大语言模型自主设计量子电路，打破人类依赖，7组件框架实现迭代优化。
arXiv:2606.13380v1 Announce Type: cross Abstract: The design of high performing quantum circuits remains largely dependent on human expertise. We intr…
探究IQP量子电路生发机在高斯初始化下的可训练性，为量子生成模型提供新视角。
arXiv:2606.10179v1 Announce Type: cross Abstract: Quantum Circuit Born Machines (QCBMs) offer a natural approach to generative machine learning by lev…
量子机器学习新突破：可训练频率电路用更少编码门实现高频近似，优化变分量子电路效率。
arXiv:2602.23409v2 Announce Type: replace-cross Abstract: Angle-encoded variational quantum circuits admit a truncated Fourier series representation o…