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Neural Decoder for 3D Toric Codes

4D Torus

This repository contains code for experiments using a Neural Decoder that works on 3D Toric codes. The corresponding paper can be found at: http://arxiv.org/abs/2409.04300 .

  • models contains various decoder models and sub-packages with additional components.

    • auxiliar_components contains various components used in the NNs or decoding procedure.
    • pooling_layers contains adaptations of the GlobalAveragePooling layer.
    • residual_block contains different types of residual block implementations.
  • src is a collection of classes and functions used in the experimentation.

    • data_analysis is a collection of functions for data analysis.
    • evaluation_metrics collects various evaluation methods for the decoding.
  • config contains the configuration files used for experiments.

    • default contains default parameters for the experiments and API details to W&B.
    • net contains the specific parameters for the network architecture.