联系人：万源（9403）

报告摘要：
Tensor network methods incorporating Grassmann algebra provide powerful numerical tools for fermionic many-body systems in the coherent-state representation. In this talk, I discuss the basics of Grassmann tensor networks, including the Grassmann representation of quantum states and partition functions. A simplified graphical representation and its equivalence to graded-space and swap-gate approaches will also be presented. I then introduce the Grassmann generalizations of tensor network methods originally developed for bosonic and spin systems. Finally, if time permits, I will illustrate these techniques through an application to the single-flavor Gross-Neveu-Wilson model.