Skip to main content

Quantum Calibration

Project description

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}
}

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

quantum_calibration-1.0.6.tar.gz (195.2 kB view details)

Uploaded Source

Built Distribution

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

quantum_calibration-1.0.6-py3-none-any.whl (249.9 kB view details)

Uploaded Python 3

File details

Details for the file quantum_calibration-1.0.6.tar.gz.

File metadata

  • Download URL: quantum_calibration-1.0.6.tar.gz
  • Upload date:
  • Size: 195.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for quantum_calibration-1.0.6.tar.gz
Algorithm Hash digest
SHA256 ef85ba1f440a64a330063b6d2856ba0217d3f774e1d122eb9171b2f416399234
MD5 7854c8ae36b4ab9232044c1802786285
BLAKE2b-256 1585805e544dab307d26fae4f57763f0425ef16a8f55870bc97ea42e52f46d73

See more details on using hashes here.

Provenance

The following attestation bundles were made for quantum_calibration-1.0.6.tar.gz:

Publisher: publish.yml on akelhashim/qcal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file quantum_calibration-1.0.6-py3-none-any.whl.

File metadata

File hashes

Hashes for quantum_calibration-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 3748d99f8c5408b114f6deeec90816340950604b934f54caeaf0bb95ecf266f9
MD5 16998a053e7596e3858db9631b08aeca
BLAKE2b-256 72a53a3694e7a492840dcf8540a25c646faca0b795e00f33b7c4c8603d86a93a

See more details on using hashes here.

Provenance

The following attestation bundles were made for quantum_calibration-1.0.6-py3-none-any.whl:

Publisher: publish.yml on akelhashim/qcal

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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