The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/16539786

Ramon Overwater (2022): Data for: Neural Network Decoders for Surface Codes. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16539786.v1

Usage statistics

Categories

• Artificial Intelligence and Image Processing
• Electrical and Electronic Engineering

Keywords

Neural Networks, Quantum computing quantum error correction surface code

Licence

CC0

Interoperability

• RO-Crate Metadata

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Ramon Overwater

Code, Data, Processing and Plots for the Research in the paper: Neural Network Decoders for Surface Codes: A Space Exploration of the Cost-Performance Trade-Offs.

History

• 2022-03-16 first online, published, posted

Publisher

4TU.ResearchData

Format

.zip

References

• https://doi.org/10.48550/arXiv.2202.05741

Organizations

QuTech, Delft University of Technology;
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Quantum & Computer Engineering