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Visualization and tomography

Quince

Maintained by BBN-Q

This project is intended as an alternative means of defining the topology of an experiment, and will augment certain functionality of PyQLab's ExpSettingsGUI.

PythonApache-2.0
Quince illustration

Resource snapshot

Category

Visualization and tomography

Stars

8

Last pushed

Dec 7, 2023Updated 2y ago

Open issues

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What it is

Quince is maintained by BBN-Q and sits in the Visualization and tomography lane of the open-source quantum map.

This project is intended as an alternative means of defining the topology of an experiment, and will augment certain functionality of PyQLab's ExpSettingsGUI.

Last verified by Qtangl generator on May 27, 2026

Who it's for

People who learn best by seeing state structure, measurement results, or circuit behavior laid out visually.

What you can build or learn

  • Understand how the project helps inspect or reconstruct quantum systems.
  • Compare visual tooling against more code-heavy workflows.
  • Use the resource as a bridge between theory, experiments, and debugging.

License

Apache-2.0

SPDX identifier detected from the repository metadata or license files.

Repository README

Preview from the project README.

Rendered as Markdown inside a scrollable preview. Long READMEs stay contained; expand or open on GitHub for the full document.

~150 words · about 1 min readOpen on GitHub

quince-small Documentation Status

This project is intended as an alternative means of defining the topology of an experiment, and will augment certain functionality of PyQLab's ExpSettingsGUI. Currently envisioned use cases:

  1. Graphically construct measurement filter pipelines.
  2. Graphically establish logical qubits with physical measurement apparatus.

Full documentation can be found at Read the Docs

Dependencies

  1. Python 3
  2. PyQt5
  3. QtPy
  4. networkx
  5. ruamel.yaml
  6. Auspex - necessary for populating filter and instrument nodes

Funding

This software is based in part upon work supported by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract W911NF-14-C0089 and Army Research Office contract No. W911NF-14-1-0114. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the ODNI, IARPA, or the U.S. Government.

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