TNSPackage: A Fortran2003 library designed for tensor network state methods
TNSPackage: A Fortran2003 library designed for tensor network state methods
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TNSPackage:专为张量网络状态方法设计的 Fortran2003 库
DOI:
10.1016/j.cpc.2018.03.006
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发表时间:
2017-08
影响因子:
6.3
通讯作者:
Lixin He
中科院分区:
文献类型:
--
作者:
Shao-Jun Dong;Wen-Yuan Liu;Chao Wang;Yongjian Han;Guangcan. Guo;Lixin He
Recently, the tensor network states (TNS) methods have proven to be very powerful tools to investigate the strongly correlated many-particle physics in one and two dimensions. The implementation of TNS methods depends heavily on the operations of tensors, including contraction, permutation, reshaping tensors, SVD and so on. Unfortunately, the most popular computer languages for scientific computation, such as Fortran and C/C++ do not have a standard library for such operations, and therefore make the coding of TNS very tedious. We develop a Fortran2003 package that includes all kinds of basic tensor operations designed for TNS. It is user-friendly and flexible for different forms of TNS, and therefore greatly simplifies the coding work for the TNS methods.Program summaryProgram Title:TNSPProgram Files doi:http://dx.doi.org/10.17632/fgggdbrdnx.1Licensing provisions: GNU General Public License version 3Programming language:Fortran2003External routines:BLAS, LAPACK, ARPACKNature of problem:The implementation of Tensor Network State (TNS) methods depends heavily on the operations of tensors. Unfortunately, the most popular computer languages for scientific computation, such as Fortran and C/C++ do not have a standard library for such operations, and therefore make the coding of TNS very tedious.Solution method: We develop a Fortran2003 package that includes all kinds of basic tensor operations designed for TNS, which greatly simplifies the coding work for the TNS methods.Additional comments including Restrictions and Unusual features: A gcc-4.8.4 or later version is required to compile the code.
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DOI:
--
发表时间:
2014-03
期刊:
ArXiv
影响因子:
--
作者:
A. Cichocki
通讯作者:
A. Cichocki
影响因子:
3.7
作者:
Wang Chao;Gong Ming;Han Yong-Jian;Guo Guangcan;He Lixin
通讯作者:
He Lixin
DOI:
10.29172/0248af458a0949c5a9dc17f4fd86b84a
发表时间:
2008
期刊:
--
影响因子:
--
作者:
Lewin Boehnke
通讯作者:
Lewin Boehnke
影响因子:
3.3
作者:
T. Barthel
通讯作者:
T. Barthel
影响因子:
8.6
作者:
Jiang, H. C.;Weng, Z. Y.;Xiang, T.
通讯作者:
Xiang, T.