qcal
qcal is software for quantum calibration, characterization, and benchmarking.
Installation
Install from PyPI:
pip install quantum-calibration
Getting started
Here's an example of creating a Bell state preparation circuit in qcal:
import qcal as qc
circuit = qc.Circuit([
qc.Cycle({qc.H(0)}),
qc.Cycle({qc.CNOT((0, 1))})
])
circuit.measure()
circuit.draw()
License & Copyright
qcal is licensed under a BSD license.
Copyright Notice
qcal Copyright (c) 2025, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.
If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.
NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.
Citation
If using qcal for research, please cite:
@misc{doecode_169551,
title = {qcal v0.0.1},
author = {Hashim, Akel},
abstractNote = {qcal is a software package for calibration, characterization, and benchmarking of quantum gates. It was developed to operate full-stack superconducting quantum systems at the Advanced Quantum Testbed.},
doi = {10.11578/dc.20251106.3},
url = {https://doi.org/10.11578/dc.20251106.3},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20251106.3}},
year = {2025},
month = {nov}
}
Metadata
Release files for quantum-calibration 4.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| quantum_calibration-4.0.1.tar.gz | 27.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| quantum_calibration-4.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 64.1 MB
Release files / quantum_calibration-4.0.1.tar.gz
| Download URL | quantum_calibration-4.0.1.tar.gz |
|---|---|
| Size | 27.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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Transparency logRelease files / quantum_calibration-4.0.1-py3-none-any.whl
| Download URL | quantum_calibration-4.0.1-py3-none-any.whl |
|---|---|
| Size | 36.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
1d9ef7934eaad79fb2cf1aec95665c885b251096d3eb173d957bcacf998eeaa5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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 Sep 18, 2026.
Transparency log