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metadata 
pretty_name: IBM-QML-Kernel Branch-Transfer Benchmarks (ibm-qml-kernel)
license: mit
tags:
  - quantum-computing
  - ibm-quantum
  - qiskit
  - superconducting-qubits
  - reproducibility
  - benchmarks
  - wigners-friend
task_categories:
  - other
size_categories:
  - n<1K

IBM-QML-Kernel Branch-Transfer Benchmarks (ibm-qml-kernel)

Dataset Summary

This dataset is the reproducibility artifact bundle corresponding to the arXiv submission:

“Wigner's Friend as a Circuit: Inter-Branch Communication Witness Benchmarks on Superconducting Quantum Hardware.”

It snapshots the experimental and simulation outputs for a five‑qubit “branch‑transfer / message‑transfer” circuit primitive (message transfer in the compiled circuit / measurement record sense, not physical signaling), executed on IBM Quantum hardware and mirrored with backend‑matched noisy simulations.

What’s inside (high level)

The release is designed as a “stable, citeable checkpoint” and includes, at minimum:

  • Hardware execution on IBM Quantum ibm_fez (N = 20,000 shots).
  • Coherence-sensitive witness evaluation (X and Y bases) + a visibility baseline.
  • Backend-matched noisy simulations using calibration-synchronized noise models.
  • Execution provenance: IBM Quantum job IDs + backend calibration snapshots.
  • Deterministic figure regeneration from archived artifacts.
  • Tamper-evident manifest: SHA256 hashes for bundle files.

(See the GitHub release notes for the canonical inventory.)

Intended Use

This dataset is for:

  • Reproducing figures/tables/values from the associated paper.
  • Auditing compilation + noise impacts on the reported witnesses.
  • Serving as a reference artifact for future “branch-transfer / inter-branch witness” benchmark runs on other devices/backends.

Not intended for: training NLP/Vision models. It’s an experiment + provenance bundle.

How to Use

Option A — download the full artifact snapshot (recommended for exact reproduction)

For non-tabular artifacts (plots, calibration dumps, intermediate files), the most faithful workflow is to download the full repository snapshot:

from huggingface_hub import snapshot_download

local_dir = snapshot_download(
    repo_id="Cohaerence/wigner-friend-v2b",
    repo_type="dataset",
)
print(local_dir)

Option B — datasets.load_dataset(...) (best if files are extracted + structured)

Hugging Face Datasets works best when the dataset includes common formats like csv, jsonl, or parquet, optionally referenced via data_files=.

from datasets import load_dataset

ds = load_dataset("Cohaerence/wigner-friend-v2b")
print(ds)

Docs: https://huggingface.co/docs/datasets/loading

Reproduction Quickstart (paper-aligned)

These commands reflect the intended “paper-aligned” reproduction workflow described in the release notes:

# Verify IBM Quantum connectivity
python -c "from qiskit_ibm_runtime import QiskitRuntimeService as S; s=S(); bs=s.backends(simulator=False, operational=True); print('n_backends=', len(bs))"

# Hardware coherence witness (X + Y bases)
python -m experiments.branch_transfer.run_ibm   --backend ibm_fez --mode coherence_witness   --include-y-basis --shots 20000 --optimization-level 2

# Hardware visibility (rp_z mode)
python -m experiments.branch_transfer.run_ibm   --backend ibm_fez --mode rp_z --mu 1   --shots 20000 --optimization-level 2

# Backend-matched noisy simulations
python -m experiments.branch_transfer.run_sim   --mode coherence_witness --include-y-basis --mu 1   --shots 20000 --noise-from-backend ibm_fez
python -m experiments.branch_transfer.run_sim   --mode rp_z --mu 1 --shots 20000   --noise-from-backend ibm_fez

# Generate analysis figures
python -m experiments.branch_transfer.analyze   --artifacts-dir artifacts/branch_transfer   --figures-dir artifacts/branch_transfer/figures --plot-all

Citations

References

  1. Violaris, M. (2026). Quantum observers can communicate across multiverse branches. arXiv:2601.08102. arXiv:2601.08102

  2. Mukherjee, S. and Hance, J. Limits of absoluteness of observed events in timelike scenarios: A no-go theorem, arXiv:2510.26562. arXiv:2510.26562

License

MIT License. See LICENSE for details.

Contact

Christopher Altman (2026)