Published January 11, 2024 | Version v1
Dataset Open

Data repository for the paper "Highly multimode visible squeezed light with programmable spectral correlations through broadband up-conversion"

  • 1. ROR icon Cornell University
  • 2. ROR icon NTT (United States)
  • 3. Intelligence Community Postdoctoral Research Fellowship Program
  • 4. Kavli Institute at Cornell for Nanoscale Science

Description

This data repository includes the requisite data and script to derive the primary results of the paper, "Highly multimode visible squeezed light with programmable spectral correlations through broadband up-conversion". The repository is structured to provide everything needed to reproduce the figures included in the main manuscript.

The script in this repository is intended only for reproducing the results in the paper. For simulations, refer to our Github repository: https://github.com/mcmahon-lab/MultimodeNonlinearOptics.

Everything needed to reproduce the figures is found in figs_and_data. Therein, the Jupyter notebook Visible Squeezing Figures.ipynb generates each figure in the article except for the schematics. This runs in Python 3, and the only other required libraries are Matplotlib and SciPy. The figures are saved in the figures directory.

Covariance contains the raw data for the infrared photon coincidence experiments. These are already processed and the results are included in figs_and_data/data/Covariance.

Files

figs_and_data.zip

Files (8.3 GB)

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