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photon-number-classification

Comparison of different algorithms for the classification of transition edge sensor signals.

https://github.com/polyquantique/photon-number-classification

Science Score: 67.0%

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    Found 10 DOI reference(s) in README
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    Links to: arxiv.org
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    Low similarity (8.1%) to scientific vocabulary
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Repository

Comparison of different algorithms for the classification of transition edge sensor signals.

Basic Info
  • Host: GitHub
  • Owner: polyquantique
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 93.5 MB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

README.md

a a a

Photon Number Classification

Comparison of different algorithms for the classification of transition edge sensor signals. With the development of a variety of techniques in the field of machine learning the goal is to quantify the advantages of modern classification techniques in the context of photon detection.

Files

Confidence

Training

Figures

Experiments

The different algorithms are compared in a single notebook available in : Methods_Uniform.ipynb

The following methods are evaluated :

Data Availability

All the data used in this research is available on the Zenodo open repository :

TODO

  • Include Sphinx documentation

Acknowledgements

N.D.-C. and N.Q. acknowledge support from the Ministère de l'Économie et de l'Innovation du Québec, the Natural Sciences and Engineering Research Council Canada, Photonique Quantique Québec, and thank S. Montes-Valencia, J. Martinez-Cifuentes and A. Boon for valuable discussions. We also thank Z. Levine and S. Glancy for their careful feedback on our manuscript.

Owner

  • Name: Polyquantique
  • Login: polyquantique
  • Kind: organization
  • Location: Canada

Quantum Photonics and Information at Polytechnique Montreal

Citation (CITATION.cff) 

@article{dalbec-constant_accurate_2024,
title={Accurate Unsupervised Photon Counting from Transition Edge Sensor Signals},
author={Nicolas Dalbec-Constant and Guillaume Thekkadath and Duncan England and Benjamin Sussman and Thomas Gerrits and Nicol\'as Quesada},
year={2024},
journal={arXiv preprint arXiv:2411.05737}
}

GitHub Events

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  • Watch event: 7
  • Delete event: 1
  • Public event: 1
  • Push event: 10
  • Pull request review comment event: 2
  • Pull request review event: 5
  • Pull request event: 4
  • Create event: 4
Last Year
  • Watch event: 7
  • Delete event: 1
  • Public event: 1
  • Push event: 10
  • Pull request review comment event: 2
  • Pull request review event: 5
  • Pull request event: 4
  • Create event: 4

Dependencies

requirements.txt pypi
  • matplotlib ==3.9.1
  • scikit-learn ==1.5.1
  • seaborn ==0.13.2
  • torch ==2.3.1
  • torchaudio ==2.3.1
  • torchvision ==0.18.1
  • tqdm ==4.66.4