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Dataset for “Improving Zero-Noise Extrapolation via Physically Bounded Models”

The package contains the data for "Improving Zero-Noise Extrapolation via Physically Bounded Models". Contents and File Mapping Appendices Supplementary sections for the paper: `appendices.pdf` Datasets The record contains six archives. Each archive is sel

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CreatorMiranskyy, Andriy
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Published2026-04-23
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DOI10.5281/zenodo.19712079
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Downloads144
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Licensecc-by-4.0
File Size2.0 GB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views76
Total Downloads144

The package contains the data for “Improving Zero-Noise Extrapolation via Physically Bounded Models”.

Contents and File Mapping

Appendices

Supplementary sections for the paper: `appendices.pdf`

Datasets

The record contains six archives. Each archive is self-contained and includes a dedicated README describing its internal structure and usage.

Synthetic Data

  1. Quantum Assembly Listings
    Contains the QASM files for the quantum circuits used in the experiments.
    1. File: qasm_archive.zip
    2. README: qasm_archive_readme.md
  2. Measurement Data
    Contains the raw measurement outcomes for all ZNE experiments.
    1. File: measurements.jsonl.gz
    2. README: measurements_readme.md
  3. Evaluation Results
    Contains the results of the ZNE evaluation experiments for bounded and unbounded models.
    1. File: evaluation_archive.zip
    2. README: evaluation_archive_readme.md

Real Data

  1. Quantum Assembly Listings
    Contains the QASM files for the quantum circuits used in the experiments.
    1. File: qasm_real_archive.zip
    2. README: qasm_real_archive_readme.md
  2. Measurement Data
    Contains the raw measurement outcomes for all ZNE experiments.
    1. File: measurements_real.jsonl.gz
    2. README: measurements_real_readme.md
  3. Evaluation Results
    Contains the results of the ZNE evaluation experiments for bounded and unbounded models.
    1. File: evaluation_real_archive.zip
    2. README: evaluation_real_archive_readme.md

 

Please cite it as follows:

, 
      author=Andriy Miranskyy and Adam Sorrenti and Jasmine Thind and Claude Gravel,
      year=2026,
      journal=arXiv preprint arXiv:2604.24475,
      url=https://arxiv.org/abs/2604.24475, 
      doi=10.48550/arXiv.2604.24475
}

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Dataset for “Improving Zero-Noise Extrapolation via Physically Bounded… (Full Dataset)2.0 GB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Miranskyy, Andriy (2026). Dataset for “Improving Zero-Noise Extrapolation via Physically Bounded Models”. https://doi.org/10.5281/zenodo.19712079