TensorKit.jl extension for low rank unitary fusion categories, using smallRankUnitaryFusionData and the AnyonWiki
This package currently provides TensorKit's sectortypes for all objects of multiplicity-free (braided) fusion categories up to rank 6. The full list, along with the naming convention can be found here.
Additionally, some specific categories with multiplicities have also been added.
The fusion categories adhere to a hierarchical structure of exported abstract types:
BraidedCategory <: FusionCategory <: FusionRing
which indicate implementations of fusion rules (Nsymbol
), associators (Fsymbol
) and
braidings (Rsymbol
).
Objects in these categories are identified with integers ranging from 1
to R
, where 1
. These can then be used as
any other Sector
for constructing TensorMap
s.
using TensorKit, CategoryData
𝒞 = CategoryData.Fib # Fibonacci category
𝒪 = Object{𝒞}
@show collect(values(𝒪)) # 1 -> I, 2 -> τ
t = TensorMap(rand, ComplexF64, Vect[𝒪](1 => 2, 2 => 2) ← Vect[𝒪](1 =>2, 2 => 2))
The data for the fusion categories is stored in the data
github branch, and retrieved using the Artifacts
package. In particular, in order to add to, or change the data, the following steps should be taken:
- Update the
data
github branch with the new data. - Release/tag a new version of the data
data-vX.Y.Z
, which can then be registered as an artifact. - Check the url of the release, which should be of the following form
"https://github.com/lkdvos/CategoryData.jl/archive/refs/tags/data-vX.Y.Z.tar.gz"
- Switch to the
main
branch, and update theArtifact.toml
file. This can be done either manually, or by usingArtifactUtils.jl
:
julia> using ArtifactUtils
julia> add_artifact("Artifacts.toml", "fusiondata", "https://github.com/lkdvos/CategoryData.jl/archive/refs/tags/data-vX.Y.Z.tar.gz"; force=true);
- Update the
artifact_path
constant in the source codesrc/artifacts.jl
. - Push the changes to the
main
branch.