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Data for hybrid quantum memory leveraging slow-light and gradient-echo duality experiment

Version 1.1

Kurzyna, Stanisław, 2025, "Data for hybrid quantum memory leveraging slow-light and gradient-echo duality experiment", https://doi.org/10.58132/VJVN4P, Dane Badawcze UW, V1

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Description

For this experiment we measured all of the data using heterodyne detection.

File "fig2" contains the data for the expeiment performed by storing the light in the GEM and then reading it out with EIT and gaussian functions fitted to the collecte time traces.

Files "fig3_a" and "fig3_c_sim" contains the parameters of the gaussian functions fitted to the experimental time traces and simulated time traces respectively.

File "fig4" contains fourier transforms of the experimentally measured time traces for impulses stored in EIT and readout in GEM.

File "fig5" contains time traces for impulse with two frequencies stored in GEM and readout in EIT with fitted gaussian functions and fourier transform of time traces for two impulse stored in EIT and readout in GEM with fitted gaussian functions.

Files were generated with Xarray (v2025.3.1) Python library. Files are in the HDF5 format. Files can be loaded uisng Xarray function "xarray.load_dataset". We analyzed the data using Python programming language. Data for theoretical model were created using Python.


The “Quantum Optical Technologies” (FENG.02.01-IP.05-0017/23) project is carried out within the Measure 2.1 International Research Agendas programme of the Foundation for Polish Science, co-financed by the European Union under the European Funds for Smart Economy 2021--2027 (FENG). This research was funded in whole or in part by the National Science Centre, Poland, grant no. 2024/53/B/ST2/04040. Publication co-financed from the state budget funds (Poland), awarded by the Minister of Science under the “Perły Nauki II” program, project No. PN/02/0027/2023, co-financing amount PLN 239,998.00, total project value PLN 239,998.00.

Subject
Physics
Keyword

quantum memory, slow light, coherence mapping

Related Publication

Kurzyna Stanisław, Mateusz Mazelanik, Wojciech Wasilewski, Michał Parniak, Hybrid quantum memory leveraging slow-light and gradient-echo duality, arXiv:2509.02810 (2025) https://arxiv.org/abs/2509.02810 arXiv: 2509.02810

CC0 Creative Commons Zero 1.0 CC0 Creative Commons Zero 1.0

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fig2.h5
Unknown - 4.6 MB - Sep 3, 2025 - 1 Download
MD5: 6e5c6998d438f26349c4a769bf1d51bc
License: CC0 Creative Commons Zero 1.0
Experimental data for impulses stored in GEM and readout in EIT with fitted gaussian functions. Time traces were measuerd using heterodyne detection. File was generated with Xarray (v2025.3.1) Python library. File is in the HDF5 format.
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fig3_a.h5
Unknown - 1.9 KB - Sep 3, 2025 - 1 Download
MD5: ecd5780e262d6f4ae678a7298ca72a84
License: CC0 Creative Commons Zero 1.0
Fitted positions and widths of gaussian function for impulses stored in GEM and readout in EIT. File was generated with Xarray (v2025.3.1) Python library. File is in the HDF5 format.
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fig3_c_sim.h5
Unknown - 1.1 KB - Sep 3, 2025 - 1 Download
MD5: 1a869ce5e6202209852ae3eef8212592
License: CC0 Creative Commons Zero 1.0
Fitted positions and widths of gaussian function for simaulation of impulses stored in GEM and readout in EIT. File was generated with Xarray (v2025.3.1) Python library. File is in the HDF5 format.
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fig4.h5
Unknown - 189.5 KB - Sep 3, 2025 - 1 Download
MD5: 4903bb713410235a9236d8cb8548d73e
License: CC0 Creative Commons Zero 1.0
Fourier transform of experimental data for impulses stored in EIT and readout in GEM with fitted gaussian functions. Time traces were measuerd using heterodyne detection. File was generated with Xarray (v2025.3.1) Python library. File is in the HDF5 format.
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fig5.h5
Unknown - 169.3 KB - Sep 3, 2025 - 1 Download
MD5: d06a7d25554555d8af668aa7596d37ab
License: CC0 Creative Commons Zero 1.0
Experimental data for impulse with two frequencies stored in GEM and readout in EIT with fitted gaussian functions and fourier transform of experimental data for two impulse stored in EIT and readout in GEM with fitted gaussian functions. Time traces were measuerd using heterodyne detection. File was generated with Xarray (v2025.3.1) Python library. File is in the HDF5 format.
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