Skip to main content

Qubit calibration software

Reason this release was yanked:

internal testing

Project description

QUAlibrate

Advanced User-Programmed Calibration Software for Large-Scale Quantum Computers

QUAlibrate is an open-source 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.
  • Community-Driven: Fully open source, supporting collaboration and customization.

Installation

Requirements QUAlibrate requires 3.9 ≤ Python ≤ 3.12. It is also recommended to use a virtual environment.

  1. Install QUAlibrate Run the following command in a terminal:

    pip install qualibrate
    
  2. Run Configuration Setup Run the following command to create a configuration file:

    qualibrate config
    

    Hit Y to 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

QUAlibrate is licensed under the BSD-3 license. See the LICENSE file for more details.

Contact

For any questions or support, please open a corresponding GitHub issue.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qualibrate-1.0.2a1.tar.gz (169.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qualibrate-1.0.2a1-py3-none-any.whl (264.1 kB view details)

Uploaded Python 3

File details

Details for the file qualibrate-1.0.2a1.tar.gz.

File metadata

  • Download URL: qualibrate-1.0.2a1.tar.gz
  • Upload date:
  • Size: 169.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for qualibrate-1.0.2a1.tar.gz
Algorithm Hash digest
SHA256 8a9c3b404d5145f4f956a4c4b244ee364412a16f864a54012296100d54341008
MD5 967371d38d9a9e47c16148e075e6117a
BLAKE2b-256 84f98adaf9e9b1e68c000d68aec3bd03aff9a19abc68a23a01952a851fb03e02

See more details on using hashes here.

File details

Details for the file qualibrate-1.0.2a1-py3-none-any.whl.

File metadata

  • Download URL: qualibrate-1.0.2a1-py3-none-any.whl
  • Upload date:
  • Size: 264.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for qualibrate-1.0.2a1-py3-none-any.whl
Algorithm Hash digest
SHA256 84392c8ffded443cca81105be9b06294567f1e73c6bc069030998fb50cbfcf70
MD5 e71cb82506a60004d5aa3b6665f5b30c
BLAKE2b-256 a3def5883dff0fe16be4b5e510d4ced4531f8bc809755e3aaaee8ce7fda78358

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page