generative diffusion models have achieved spectacular performance in many
areas of generative modeling. While the fundamental ideas behind these models
come from non-equilibrium physics, in this paper we show that many aspects of
these models can be understood using the tools of equili
针对量子系统状态的生成建模问题,本文提出了一种基于去噪扩散模型的方法,其关键创新点在于考虑了物理性质中的量子状态约束,通过 Mirror Diffusion Model 和设计出的镜像映射实现了严格保持结构的生成,实验验证了无条件生成和通过无监督分类器引导的条件生成的有效性,后者甚至在未知标签上生成了新的量子状态。