Supporting Data for 'Entangling remote qubits using the single-photon protocol: an in-depth theoretical and experimental study' (dataset)

Supporting Data for 'Entangling remote qubits using the single-photon protocol: an in-depth theoretical and experimental study'

DOI:10.4121/20488854.v1

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: 10.4121/20488854

Datacite citation style:

Sophie Hermans; Laura dos Santos Martins; Matteo Pompili; Alejandro Rodriguez-Pardo Montblanch; Hans Beukers et. al. (2022): Supporting Data for 'Entangling remote qubits using the single-photon protocol: an in-depth theoretical and experimental study'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20488854.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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Keywords

Quantum communications Quantum networks

Licence

CC0

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by Sophie Hermans

, Laura dos Santos Martins, Matteo Pompili

, Alejandro Rodriguez-Pardo Montblanch, Hans Beukers, Simon Baier, Johannes Borregaard, Ronald Hanson

Data and software supporting the manuscript ‘Entangling remote qubits using the single-photon protocol: an in-depth theoretical and experimental study’.

The files include:

All underlying processed data, saved into hdf5 files using xarray
Jupyter notebooks to replot the figures and create the fits of the data when applicable.
Pipfile containing all the necessary python packages
Numerical model to simulate entangled states. (Python)
Numerical model to simulate double excitation probability (MATLAB)

History

2022-08-22 first online, published, posted

Publisher

4TU.ResearchData

Format

Data saved into hdf5 files using xarray. Jupyter notebooks to replot the figures and create the fits of the data when applicable. Pipfile containing all the necessary python packages. Numerical models to simulate entangled states: Python. Numerical model to simulate double excitation probability: MATLAB.