Relative Clebsch-Gordan coefficient calculation, code underlying the publication: Hybrid Quantum Repeaters with Ensemble-based Quantum Memories and Single-spin Photon Transducers.

DOI:10.4121/ddaf25a3-b17f-468a-b4bf-e7ea5537a09e.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/ddaf25a3-b17f-468a-b4bf-e7ea5537a09e
Datacite citation style:
Gu, Fenglei (2024): Relative Clebsch-Gordan coefficient calculation, code underlying the publication: Hybrid Quantum Repeaters with Ensemble-based Quantum Memories and Single-spin Photon Transducers. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ddaf25a3-b17f-468a-b4bf-e7ea5537a09e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This piece of code calculates the Rubidium-87 relative Clebsch-Gordan coefficients normalized to the ones of the intended driving. These relative Clebsch-Gordan coefficients determine the strength of the unintended driving relative to the intended ones. These parameters provide inputs for a genuine simulation of the evolution of the quantum system of a driven Rubidium-87 atom. This code is based on the well-developed Python package named "ARC" which is short for Alkali.ne Rydberg Calculator.

History

  • 2024-01-25 first online, published, posted

Publisher

4TU.ResearchData

Format

g-zipped file with a Jupyter Notebook file: *.ipynb, a Python Script file: *.py and a readme.txt file.

Funding

  • Quantum Software Consortium (grant code 024.003.037) [more info...] Dutch Research Council

Organizations

QuTech, Delft University of Technology

DATA

Files (1)