用量子气体显微镜成像囚禁少体系统的量子点扩散函数
Quantum point spread function for imaging trapped few-body systems with a quantum gas microscope
摘要：
量子气体显微镜可以对原子在光晶格中的占位进行成像，为探索多体晶格系统开辟了一条新的途径。然而，在通过斜升钉扎晶格来冻结密度分布之后成像被捕获的系统导致原始密度分布的失真，特别是当其结构在钉扎晶格间距的尺度上时。我们表明，这种动态可以描述的过滤器，我们称之为类似于经典光学的量子点扩散函数。使用机器学习方法，我们通过几个实验相关的设置证明，一个合适的反卷积允许重建原始密度分布。这些发现对于成像理论和当前的量子气体实验都具有重要意义。
英文摘要：
Quantum gas microscopes, which image the atomic occupations in an optical lattice, have opened a new avenue to the exploration of many-body lattice systems. Imaging trapped systems after freezing the density distribution by ramping up a pinning lattice leads, however, to a distortion of the original density distribution, especially when its structures are on the scale of the pinning lattice spacing. We show that this dynamics can be described by a filter, which we call in analogy to classical optics a quantum point spread function. Using a machine learning approach, we demonstrate via several experimentally relevant setups that a suitable deconvolution allows for the reconstruction of the original density distribution. These findings are both of fundamental interest for the theory of imaging and of immediate importance for current quantum gas experiments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
