QUAlibrate
Advanced User-Programmed Calibration Software for Large-Scale Quantum Computers
QUAlibrate is a calibration platform designed specifically for quantum computers with processor-based OPX controllers. Built for scalability, ease of use, and flexibility, it empowers users to create tailored calibrations for large-scale quantum processors. With QUAlibrate, you can manage your entire calibration process—from abstract qubits down to the hardware pulse level—with high efficiency and adaptability.
Key Features
- Transform scripts into modular calibration nodes: Easily convert calibration scripts into reusable nodes that can be executed independently or as part of a larger routine.
- Combine calibration nodes into calibration graphs: Create complex calibration workflows by combining nodes in a directed acyclic graph (DAG) structure, enabling adaptive and efficient calibration routines.
- User-Friendly Web Interface: Run calibrations with live updates and data visualization.
- Scalable Quantum Calibration: Efficiently perform parallel qubit tune-ups for large-scale QPUs.
- Quantum Abstract Machine (QUAM): Digitally represent your full quantum setup for easier management and calibration.
Installation
Requirements QUAlibrate requires 3.10 ≤ Python ≤ 3.14. It is also recommended to use a virtual environment.
-
Install QUAlibrate Run the following command in a terminal:
pip install qualibrate
-
Run Configuration Setup Run the following command to create a configuration file:
qualibrate configHit
Yto accept the default options, which will create a configuration file in~/.qualibrate/config.toml. Any settings can be modified afterwards.
Next Steps
For detailed instructions on using QUAlibrate, including creating calibration nodes, building calibration graphs, and using the web app, please visit our comprehensive documentation website qua-platform.github.io/qualibrate/.
Documentation
Once QUAlibrate has been installed, it can be used to create and run calibration nodes and calibration graphs. This can be done either through the frontend or through the web app. We recommend following the documentation, which provides in-depth explanations on each of the QUAlibrate topics.
Transform Scripts into a Calibration Node
QUAlibrate can easily convert calibration scripts into a calibration node using the QualibrationNode, which provides a simple and efficient way to encapsulate calibration routines.
from qualibrate import QualibrationNode
# Instantiate a QualibrationNode with a unique name
node = QualibrationNode(name="my_calibration_node")
# Run your regular calibration code here
...
# Record any relevant output from the calibration
node.results = {...}
# Save the results
node.save() # Save results
This conversion automatically handles data saving and allows the calibration node to be called externally, for example as part of a calibration graph or through the QUAlibrate web app.
Run the QUAlibrate Web App
You can start the QUAlibrate web interface using:
qualibrate start
The interface will be available at http://localhost:8001.
License
For more details, refer to the LICENSE file.
Contact
For any questions or support, please open a corresponding GitHub issue.
5 maintainers
Metadata
5 maintainers
Release files for qualibrate 1.5.1
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Built distributions (wheels)
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Release files / qualibrate-1.5.1-cp314-cp314-win_amd64.whl
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Transparency logRelease files / qualibrate-1.5.1-cp310-cp310-macosx_10_15_x86_64.whl
| Download URL | qualibrate-1.5.1-cp310-cp310-macosx_10_15_x86_64.whl |
|---|---|
| Size | 7.6 MB |
| Tags | CPython 3.10 macOS 10.15+ x86-64 |
|
SHA-256 checksum How to use checksums |
685b49a8ac75b32a968831cada1e034574caabca3b6f5deadaacfefa000797e8
|
|
BLAKE2b-256 checksum How to use checksums |
d8d75196e3ab29de7cfb0713369a6403ddcc69d1d6f01e6f29fa62d2a7e14ca0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency log
