{"title":"GrassmannTN:用于格拉斯曼张量网络计算的 Python 软件包","authors":"Atis Yosprakob","doi":"10.21468/SciPostPhysCodeb.20 10.21468/SciPostPhysCodeb.20-r1.3","DOIUrl":null,"url":null,"abstract":"We present GrassmannTN, a Python package for the computation of the Grassmann tensor network. The package is built to assist in the numerical computation without the need to input the fermionic sign factor manually. It prioritizes coding readability by designing every tensor manipulating function around the tensor subscripts. The computation of the Grassmann tensor renormalization group and Grassmann isometries using GrassmannTN are given as the use case examples.","PeriodicalId":430271,"journal":{"name":"SciPost Physics Codebases","volume":"574 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GrassmannTN: A Python package for Grassmann tensor network computations\",\"authors\":\"Atis Yosprakob\",\"doi\":\"10.21468/SciPostPhysCodeb.20 10.21468/SciPostPhysCodeb.20-r1.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present GrassmannTN, a Python package for the computation of the Grassmann tensor network. The package is built to assist in the numerical computation without the need to input the fermionic sign factor manually. It prioritizes coding readability by designing every tensor manipulating function around the tensor subscripts. The computation of the Grassmann tensor renormalization group and Grassmann isometries using GrassmannTN are given as the use case examples.\",\"PeriodicalId\":430271,\"journal\":{\"name\":\"SciPost Physics Codebases\",\"volume\":\"574 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SciPost Physics Codebases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21468/SciPostPhysCodeb.20 10.21468/SciPostPhysCodeb.20-r1.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SciPost Physics Codebases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21468/SciPostPhysCodeb.20 10.21468/SciPostPhysCodeb.20-r1.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GrassmannTN: A Python package for Grassmann tensor network computations
We present GrassmannTN, a Python package for the computation of the Grassmann tensor network. The package is built to assist in the numerical computation without the need to input the fermionic sign factor manually. It prioritizes coding readability by designing every tensor manipulating function around the tensor subscripts. The computation of the Grassmann tensor renormalization group and Grassmann isometries using GrassmannTN are given as the use case examples.