Tensor Network Theory
swMATH ID:  30920 
Software Authors:  Sarah AlAssam, Stephen R. Clark, Dieter Jaksch 
Description:  Tensor Network Theory (TNT) provides efficient and accurate methods for simulating strongly correlated quantum systems. It does this by encoding, as a network of tensors, the manybody wave function representing the system and the operators that act on it. TNT algorithms can then be broken down into a series of tensor operations. The TNT library contains highly optimised routines for manipulating tensors in the network, which are completely general and do not depend on any network geometry. It also contains routines that can be used to build the most common TNT algorithms, with complete versions of these algorithms, either to use as they are, or modify for your own purposes. 
Homepage:  http://www.tensornetworktheory.org 
Keywords:  Quantum Physics; arXiv_quantph; arXiv_condmat.other; Tensor Network Theory; TNT 
Related Software:  snake; evoMPS; ITensor; GitHub; VirtualBox; DMRG++; ALPS; NetCDF; MNIST 
Cited in:  4 Publications 
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH  Year 

The tensor network theory library. Zbl 1459.81004 AlAssam, S.; Clark, S. R.; Jaksch, D. 
2017

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Cited by 12 Authors
Cited in 4 Serials
1  Journal of Computational Physics 
1  Journal of Statistical Physics 
1  Journal of Statistical Mechanics: Theory and Experiment 
1  Journal of Physics A: Mathematical and Theoretical 
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