测量量子纠缠、机器学习和波函数层析成像：桥接理论和量子气体显微镜实验
Measuring quantum entanglement, machine learning and wave function tomography: Bridging theory and experiment with the quantum gas microscope
摘要：
从量子气体显微镜的数据中可以提取出大量的信息，这些信息尚未得到充分的探索。量子气体显微镜已被用于直接测量磁序，动力学相关，泡利阻塞，和许多其他物理现象在最近的几个突破性的实验。然而，对来自量子气体显微镜的数据的分析可以进一步推进，当与理论结构结合使用时，它可以在广泛的系统中测量几乎任何感兴趣的可观察物。我们主要研究如何测量大相互作用量子系统中的量子纠缠。特别是，我们表明，量子气体显微镜可以用来测量相互作用玻色子系统的纠缠度，而以前人们认为这只可能用于非相互作用系统。我们考虑可以适用于类似于理论变分蒙特卡罗技术的大型实验数据集的算法，以及使用关联函数属性的更多数据限制集。
英文摘要：
There is an enormous amount of information that can be extracted from the data of a quantum gas microscope that has yet to be fully explored. The quantum gas microscope has been used to directly measure magnetic order, dynamic correlations, Pauli blocking, and many other physical phenomena in several recent groundbreaking experiments. However, the analysis of the data from a quantum gas microscope can be pushed much further, and when used in conjunction with theoretical constructs it is possible to measure virtually any observable of interest in a wide range of systems. We focus on how to measure quantum entanglement in large interacting quantum systems. In particular, we show that quantum gas microscopes can be used to measure the entanglement of interacting boson systems exactly, where previously it had been thought this was only possible for non-interacting systems. We consider algorithms that can work for large experimental data sets which are similar to theoretical variational Monte Carlo techniques, and more data limited sets using properties of correlation functions.
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。
