摘 要：This course reviews the publications of the recent decade on using machine learning methods in solving partial differential equations, such as Physics Informed Neural Network (PINN). The course will include the materials on direct method, inverse method, reduced order modeling, and the assimilation of various types of observational data.预备知识：Basic knowledge on numerical methods for...
摘 要：Followed the tensor network course of last semester, this course would continue to introduce more advanced representations of tensor networks.The main content includes the symmetric tensor network representation, the tensor network representation of topological states of quantum matter, concepts of probability modeling, quantum simulation and quantum error correction as well as their co...
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