devqubit 0.1.10

Quantum experiment tracking library

devqubit

Local-first experiment tracking for quantum computing. Capture circuits, backend state, and configuration — runs are reproducible, comparable, and easy to share. Access your data via Python API, CLI, or Web UI.

Status: Alpha — APIs may evolve in 0.x releases.

Why devqubit?

General-purpose experiment trackers (MLflow, Weights & Biases, DVC) are great for logging parameters, metrics, and artifacts. But quantum workloads need extra structure that isn't first-class there by default: capturing what actually executed (program + compilation), where it executed (backend/device), and how it executed (runtime options).

Challenge	MLflow / W&B / DVC	devqubit
Circuit artifacts	manual file logging	OpenQASM 3 + SDK-native formats (automatic)
Device context	manual	backend snapshots, calibration/noise context (automatic)
Reproducibility	depends on what you log	program + device + config fingerprints (automatic)
Result comparison	metric/table-oriented	distribution-aware, structural diff, drift detection
Noise-aware verification	requires custom logic	configurable policies with noise tolerance
Portable sharing	artifact/version workflows	self-contained bundles (manifest + SHA-256 digests)

devqubit is quantum-first: same circuit, same backend, different day — different results. devqubit helps you track why.

Features

• Automatic circuit capture — QPY, OpenQASM 3, SDK-native formats
• Multi-SDK support — Qiskit, Qiskit Runtime, Braket, Cirq, PennyLane
• Content-addressable storage — deduplicated artifacts with SHA-256 digests
• Reproducibility fingerprints — detect changes in program, device, or config
• Run comparison — TVD analysis, structural diff, calibration drift
• CI/CD verification — baselines with configurable noise-aware policies
• Portable bundles — export/import runs as self-contained ZIPs

Documentation

📚 https://devqubit.readthedocs.io

Installation

Requirements: Python 3.11+

pip install devqubit

# With SDK adapters
pip install "devqubit[qiskit]"          # Qiskit + Aer
pip install "devqubit[qiskit-runtime]"  # IBM Quantum Runtime
pip install "devqubit[braket]"          # Amazon Braket
pip install "devqubit[cirq]"            # Google Cirq
pip install "devqubit[pennylane]"       # PennyLane
pip install "devqubit[all]"             # All adapters

# With local web UI
pip install "devqubit[ui]"

Quick start

Track an experiment

from qiskit import QuantumCircuit
from qiskit_aer import AerSimulator
from devqubit import track

qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()

with track(project="bell-state", run_name="baseline-v1") as run:
    backend = run.wrap(AerSimulator())
    job = backend.run(qc, shots=1000)
    counts = job.result().get_counts()

    run.log_param("shots", 1000)
    run.log_metric("p00", counts.get("00", 0) / 1000)

print(f"Run saved: {run.run_id}")

The adapter automatically captures: circuit (QPY + QASM3), backend config, job metadata, and results.

Compare runs

from devqubit.compare import diff

result = diff("baseline-v1", "experiment-v2", project="bell-state")

print(result.identical)           # False
print(result.program.match_mode)  # "structural"
print(result.tvd)                 # 0.023

Or via CLI:

devqubit diff baseline-v1 experiment-v2 --project bell-state

CI/CD verification

from devqubit.compare import verify_baseline, VerifyPolicy

result = verify_baseline(
    "nightly-run",
    project="vqe-hydrogen",
    policy=VerifyPolicy(tvd_threshold=0.05),
)

assert result.ok, result.reason

# With JUnit output for CI pipelines
devqubit verify nightly-run --project vqe-hydrogen --junit results.xml

CLI

devqubit list                          # List runs
devqubit show <run> --project myproj   # Run details
devqubit diff <a> <b> --project myproj # Compare runs
devqubit ui                            # Web interface

See CLI reference for all commands.

Web UI

devqubit ui
# → http://127.0.0.1:8080

  

Browse runs, view artifacts, compare experiments, and manage baselines.

Contributing

We welcome contributions of all kinds — bug fixes, docs, new adapters, or feature ideas.

1. Read CONTRIBUTING.md for setup and guidelines
2. Check open issues or start a discussion
3. Fork, branch, and submit a PR

git clone https://github.com/devqubit-labs/devqubit.git
cd devqubit
uv sync --all-packages
uv run pre-commit install
uv run pytest

Early project = high impact contributions. Jump in!

Community

• 💬 Discussions — questions, ideas, feedback
• 🐛 Issues — bug reports, feature requests
• 📚 Docs — guides and API reference

License

Apache 2.0 — see LICENSE.