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I'm trying to do HOTRG calculation for 2D Ising model.
As the system size (that I want to see) increases, computation time of SVD increases rapidly.
Actually, I don't need V^T in the process.
Is there any way to skip the calculation of V^T in SVD?


1 Answer

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answered by (70.1k points)
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Best answer

Good question: this is what the denmatDecomp function is for. There is more detailed info about it on this page:

Basically its interface works the same way as the svd function but you have to provide a "dir" argument (either Fromleft or Fromright) which in SVD language says whether you want U or V (the other tensor will be set equal to either SV or US where S is the singular value matrix).

Internally, denmatDecomp squares the tensor you are decomposing and then calls a Hermitian diagonalization routine on it to get just U or just V. So it is more efficient than doing a full SVD.


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