Closed TensorNetwork18 closed 6 years ago
Eric Song (@elsong2) is working on this, see for instance,
https://github.com/elsong2/ctf/commit/6f66a6d018fd47d501f49194d5beefc81e76d69e
Support for at least the matrix SVD function above is one of the targets for the next release.
Eric's HOSVD code is here, but I think not yet fully functional, https://github.com/elsong2/Tensor-Decomposition/blob/master/hosvd.cxx
There is existing support for converting a matrix to ScaLAPACK format, which Eric's code is leveraging, so in effect CTF has the infrastructure to implement HOSVD easily, and will soon have a function to do it explicitly. But interoperability with ScaLAPACK will likely remain the main method for doing a mix of linear algebra solvers/factorizations and tensor contractions for some time. That should be enough to develop many tensor decompositions, but we would be happy to learn about any helpful features that could be added.
Great! I think this can be a very useful feature, particularly, for the study of tensor network states or renormalization group calculations in quantum many-body systems. Thanks for your reply!
Has CTF implemented SVD or Higher-Order SVD method for either dense or sparse tensor ?