Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Decorated tensor network renormalization for lattice gauge theories and
  spin foam models   Tensor network techniques have proved to be powerful tools that can be
employed to explore the large scale dynamics of lattice systems. Nonetheless,
the redundancy of degrees of freedom in lattice gauge theories (and related
models) poses a challenge for standard tensor network algorithms. We
accommodate for such systems by introducing an additional structure decorating
the tensor network. This allows to explicitly preserve the gauge symmetry of
the system under coarse graining and straightforwardly interpret the fixed
point tensors. We propose and test (for models with finite Abelian groups) a
coarse graining algorithm for lattice gauge theories based on decorated tensor
networks. We also point out that decorated tensor networks are applicable to
other models as well, where they provide the advantage to give immediate access
to certain expectation values and correlation functions.

26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg