Feature requests #1
Replies: 6 comments 12 replies
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It seems that currently focus of the TNR schemes is to calculate the free energy. But the evolution of scaling dimensions from each RG step is a better way to look into the performance of the schemes and the underlying CFT of the model. So I suggest the abilities to
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In addition, it would be really great if we can add unicode illustrations of the TNR algorithms. |
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May I ask did you take fermions into account when writing the code? In principle, we can directly express the partition function of a (1+1)D fermion model as a fermionic tensor network using Trotter decomposition of exp(-βH) (one can do Jordan-Wigner to study the corresponding bosonic model, but doesn't have to). You can find more details in https://uwspace.uwaterloo.ca/items/2707e55c-296d-4200-ae4d-2996e9dd3baa (There the Grassmann tensor formalism is used, but it's not hard to translate to the super vector space formalism used by TensorKit; note that the convention for arrow direction in that thesis is the opposite to TensorKit). |
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By considering a wider transfer matrix, higher conformal dimensions of CFT can be produced. Maybe by diagonalizing the transfer matrix with a very wide MPS (or MERA), very large conformal dimensions can be calculated. |
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I would like a function to give me the Gu-Wen ratio defined in https://arxiv.org/abs/0903.1069. I might add it later. |
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I would like to add a plethora of 2D and 3D spin and field theory models such that real and complex scalar fields, O(N) models, NLSM models and Gauge theories for abelian and non-abelian groups. |
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Tell us about the features you would like to see implemented!
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