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METHODS AND SYSTEMS FOR TENSOR NETWORK CONTRACTION BASED ON HYPERGRAPH DECOMPOSITION AND PARAMETER OPTIMIZATION

机译:基于超图分解和参数优化的张量网络收缩方法和系统

摘要

Methods and systems for tensor network contraction are provided. A method implemented by a computing host includes obtaining a plurality of tensor nodes associated with a tensor network and a plurality of indices respectively associated with the plurality of tensor nodes; generating a graph associated with the tensor network, wherein the plurality of tensor nodes correspond to a plurality of vertices of the graph and the plurality of indices correspond to a plurality of edges of the graph, respectively; decomposing the graph into a plurality of sub-graphs; and for each sub-graph of the plurality of sub-graphs, iteratively decomposing a current sub-graph into a plurality of next-tier sub-graphs until a size of each of the plurality of next-tier sub-graphs is less than a pre-set threshold.
机译:提供了张量网络收缩的方法和系统。 由计算主机实现的方法包括获得与张量网络相关联的多个张量节点和分别与多个张量节点相关联的多个索引; 生成与张量网络相关联的曲线图,其中多个张量节点对应于图形的多个顶点,并且多个索引分别对应于图的多个边缘; 将图形分解成多个子图; 对于多个子图的每个子图,迭代地将当前子图分解为多个下层子图,直到多个下一层子图中的每一个的大小小于a 预设阈值。

著录项

  • 公开/公告号US2021334690A1

    专利类型

  • 公开/公告日2021-10-28

    原文格式PDF

  • 申请/专利权人 ALIBABA GROUP HOLDING LIMITED;

    申请/专利号US202117238870

  • 发明设计人 JIACHEN HUANG;JIANXIN CHEN;

    申请日2021-04-23

  • 分类号G06N10;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-24 21:57:19

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