---
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.”**  

- GitHub release checkpoint: [v1.0-wigner-branch-benchmark](https://github.com/christopher-altman/ibm-qml-kernel/releases/tag/v1.0-wigner-branch-benchmark)
- Paper page: https://huggingface.co/papers/2601.16004
- GitHub: https://github.com/christopher-altman/ibm-qml-kernel

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:

```python
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=`.

```python
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:

```bash
# 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

- arXiv:2601.16004 — “Wigner's Friend as a Circuit: Inter-Branch Communication Witness Benchmarks on Superconducting Quantum Hardware.”  
  https://arxiv.org/abs/2601.16004

- Code + artifact checkpoint: GitHub release tag `v1.0-wigner-branch-benchmark`.  
  https://github.com/christopher-altman/ibm-qml-kernel/releases/tag/v1.0-wigner-branch-benchmark

---

## References

1. Violaris, M. (2026). Quantum observers can communicate across multiverse branches. *arXiv:2601.08102*. [arXiv:2601.08102](https://arxiv.org/abs/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](https://arxiv.org/abs/2510.26562)


---

## License

MIT License. See [LICENSE](LICENSE) for details.

---

## Contact

- **Website:** [christopheraltman.com](https://christopheraltman.com)
- **Research portfolio:** https://lab.christopheraltman.com/
- **GitHub:** [github.com/christopher-altman](https://github.com/christopher-altman)
- **Google Scholar:** [scholar.google.com/citations?user=tvwpCcgAAAAJ](https://scholar.google.com/citations?user=tvwpCcgAAAAJ)
- **Email:** x@christopheraltman.com

---

*Christopher Altman (2026)*