论文标题
通过张量网络中的3D光学晶格中的热玻色子
Thermal bosons in 3d optical lattices via tensor networks
论文作者
论文摘要
光学晶格中的超电原子是模拟密切相关系统的最有前途的实验设置之一。但是，缺乏能够在有趣的3D晶格中基准在低温下进行基准实验的有效数值算法。为此，在这里，我们引入了一种有效的张量网络算法，以在任何无限晶格和任何维度上精确模拟当地汉密尔顿人的热状态。我们采用该方法模拟光学晶格中的热玻色子。特别是，我们以前所未有的精度研究了无限的pyrochlore和立方晶格上（软核和硬核）玻色式模型的物理。因此，我们的技术是基准逼真且有趣的光学晶格实验的理想工具。
Ultracold atoms in optical lattices are one of the most promising experimental setups to simulate strongly correlated systems. However, efficient numerical algorithms able to benchmark experiments at low-temperatures in interesting 3d lattices are lacking. To this aim, here we introduce an efficient tensor network algorithm to accurately simulate thermal states of local Hamiltonians in any infinite lattice, and in any dimension. We apply the method to simulate thermal bosons in optical lattices. In particular, we study the physics of the (soft-core and hard-core) Bose-Hubbard model on the infinite pyrochlore and cubic lattices with unprecedented accuracy. Our technique is therefore an ideal tool to benchmark realistic and interesting optical-lattice experiments.
