Dataset for "Controlling the photon number coherence of solid-state quantum light sources for quantum cryptography"

Dataset for "Controlling the Photon Number Coherence of Solid-state Quantum Light Sources for Quantum Cryptography" This dataset contains data for journal website: https://www.nature.com/articles/s41534-024-00811-2 DOI: https://doi.org/10.1038/s41534-024-00811-2 The data is in either .txt or .csv format. The zip file "PNCDataSet" includes the following folders and data: Dataset for Indistinguishability: Folder .\HOM "HOM_Distinguishable.csv" as HOM data of Distinguishable case "HOM_stim.csv" as HOM data of stiX. "HOM_TPE.csv" as HOM data of reX. Dataset for g2 folder .\g2 "Stim_G2.csv" as g2 data of stiX. "TPE_G2.csv" as g2 datra of reX. Dateset for Spectra folder .\Spectra "TPE_SPECTRA.csv" as the spectra of reX. "Stim_SPECTRA.csv" as the spectra of stiX Dataset for reX PNC folder .\TPEPhaseScan The folder contains 49 CSV files in alphabetical order. Each CSV file contains a 30-second count trace of 2 detectors for different TPE powers specified in the paper. Dataset for stiX PNC folder .\StimTPE-PhaseScan The folder contains 50 CSV files in alphabetical order. Each CSV file contains a 30-second count trace of 2 detectors for different TPE powers and a stimulation pulse power specified in the paper. Additional data for the supplementary materials is available upon a reasonable request. How to extract data: Windows: Locate the .zip file on your computer. In this case, the zip file is named "SUPERDataset". Right-click on the .zip file and select "Extract All" from the context menu. This will open the extraction wizard. macOS: Locate the .zip file on your computer. In this case, the zip file is named "SUPERDataset". Double-click on the .zip file. macOS will automatically extract the contents of the .zip file to the same location. Linux: Open a terminal window. Navigate to the directory where the .zip file is located using the cd command. Run the following command to unzip the file: unzip PNCDataSet.zip Acknowledgements Y.K., F.K., R.S., V.R. and G.W. acknowledge financial support through the Austrian Science Fund FWF projects W1259 (DK-ALM Atoms, Light, and Molecules), FG 5, TAI-556N (DarkEneT), F 7114 (BeyondC) and I4380 (AEQuDot). DAV and TH acknowledge financial support by the German Federal Ministry of Education and Research (BMBF) via projects 13N14876 (‘QuSecure’) and 16KISQ087K (tubLAN Q.0). TKB and DER acknowledge financial support from the German Research Foundation DFG through project 428026575 (AEQuDot). A.R. and SFCdS acknowledge the FWF projects FG 5, P 30459, I 4320, the Linz Institute of Technology (LIT) and the European Union’s Horizon 2020 research, and innovation program under Grant Agreement Nos. 899814 (Qurope), 871130 (ASCENT+) and the QauntERA II Program (project QD-E-QKD). L.M.H., P.W. and J.C.L. acknowledge financial support from the European Union’s Horizon 2020 and Horizon Europe research and innovation program under grant agreement No 899368 (EPIQUS), the Marie Skłodowska-Curie grant agreement No 956071 (AppQInfo), and the QuantERA II Program under Grant Agreement No 101017733 (PhoMemtor); FWF through F7113 (BeyondC), and FG5 (Research Group 5); from the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.