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Data · dataset · 2026

On-Demand Millisecond Storage of Spectro-Temporal Modes at Telecom Wavelength

Listed in Borealis

Description

Raw data and analysis scripts related to the manuscript titled **"On-Demand Millisecond Storage of Spectro-Temporal Modes at Telecom Wavelength."** This repository contains the raw experimental data, processed datasets, numerical simulations, and Python analysis scripts used to generate all figures and tables presented in the manuscript and its accompanying Supplementary Material. The work demonstrates a telecom-compatible quantum memory based on isotopically purified Er³⁺:Y₂SiO₅ using the Chirped Pulse Phase Encoding (CPPE) protocol.

The dataset includes measurements of millisecond on-demand storage of weak coherent pulses, spectro-temporal multimode operation, frequency-bin state characterization, chirped-pulse optimization, noise characterization, spectral crosstalk, memory bandwidth measurements, and quantum repeater performance simulations. The repository is organized according to the figure and table numbers in the manuscript. Each folder contains the corresponding raw data, processed data, and Jupyter notebook(s) required to reproduce the associated figure or table:

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  • **Main_Fig1** --> Quantum repeater performance simulations.
  • **Main_Fig2** --> Millisecond storage efficiency measurements.
  • **Main_Fig3** --> Temporal and spectral-temporal multimode storage experiments.
  • **Main_Fig4** --> Frequency-bin state characterization.
  • **SM_FigS1** --> Absorption spectrum and optical coherence measurements.
  • **SM_FigS2** --> Quantum repeater parameter analysis.
  • **SM_FigS3** --> Chirped-pulse optimization and numerical simulations.
  • **SM_FigS4** --> Absorption evolution during the CPPE protocol and photoluminescence measurements.
  • **SM_FigS5** --> CPPE pulse sequence characterization.
  • **SM_FigS6** --> Spectral crosstalk measurements.
  • **SM_FigS7** --> Comparison with previously reported erbium-based quantum memories.
  • **SM_TableS2** --> Memory bandwidth characterization. The notebooks can be executed independently using the data provided within their respective directories. Standard Python scientific libraries, including NumPy, SciPy, Pandas, Matplotlib, and Plotly, are required to run the analysis scripts. This dataset is licensed under the Creative Commons license Attribution-NonCommercial 4.0 International. To view a copy of this license, visit creativecommons.org/licenses/by-nc/4.0/

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Where it is published

Catalogue records · 1

Topics

Stated by source
Physics
From keywords
Physics
Inferred from text
Atomic, molecular and optical physics 74% · Tabular 65%
Provenance · 1 source records, 10 field assertions
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Borealisdoi:10.5683/SP3/VJVJQF4 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:tabularenrichment · borealisdata cakeyword-concept-rules@1.0.0title+description (65%)
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