TensorNetworkCodes

Introduction

TensorNetworkCodes.jl is a Julia library developed to support the following research:

• T. Farrelly, D. K. Tuckett, T. M. Stace, Local tensor-network codes, arXiv:2109.11996, (2021).

Installation

TensorNetworkCodes.jl is installed, like any other registered Julia package, using the Julia package manager Pkg:

pkg> add TensorNetworkCodes  # Press ']' to enter the Pkg REPL mode.

or

julia> using Pkg; Pkg.add("TensorNetworkCodes")

Demos

The following demos correspond to results included in arXiv:2109.11996:

• Small example tensor-network codes and code distances

• The 19 qubit colour code as a tensor-network code

• The modified surface code

Citing

Please cite TensorNetworkCodes.jl if you use it in your research.

A suitable BibTeX entry is:

@article{Farrelly_LocalTNCodes_2021,
    title = {Local tensor-network codes},
    author = {Farrelly, Terry and Tuckett, David K. and Stace, Thomas M.},
    year = {2021},
    archiveprefix = {arXiv},
    eprint = {2109.11996},
    url = {https://arxiv.org/abs/2109.11996},
}

Similarly, please cite Qecsim.jl if you use its features in your research, see Qecsim.jl Documentation for details.

License

TensorNetworkCodes.jl is released under the BSD 3-Clause license, see LICENSE.

Links

• Source code: https://github.com/qecsim/TensorNetworkCodes.jl
• Documentation: https://qecsim.github.io/TensorNetworkCodes.jl
• Contact: Terry Farrelly farreltc@tcd.ie