Skip to main content

MQT Bench - A MQT tool for Benchmarking Quantum Software Tools

Project description

PyPI License: MIT CI Bindings codecov Documentation

MQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing

MQT Bench is a quantum circuit benchmark suite with cross-level support, i.e., providing the same benchmark algorithms for different abstraction levels throughout the quantum computing software stack.

Documentation

If you have any questions, feel free to create a discussion or an issue on GitHub.

MQT Bench is part of the Munich Quantum Toolkit (MQT) developed by the Chair for Design Automation at the Technical University of Munich and is hosted at https://www.cda.cit.tum.de/mqtbench/.

Getting Started

mqt-bench is available via PyPI.

(venv) $ pip install mqt.bench

The following code gives an example on the usage:

from mqt.bench import get_benchmark

# get a benchmark circuit on algorithmic level representing the GHZ state with 5 qubits
qc_algorithmic_level = get_benchmark(benchmark_name="dj", level="alg", circuit_size=5)

# draw the circuit
print(qc_algorithmic_level.draw())

Detailed documentation and examples are available at ReadTheDocs.

Repository Structure

  • src/mqt/: main source directory
    • bench: Directory for the MQT Bench package
    • bench/benchmarks: Directory for the benchmarks
    • benchviewer: Directory for the webpage (which can be started locally and is also hosted at https://www.cda.cit.tum.de/mqtbench/)
  • tests: Directory for the tests for MQT Bench

Acknowledgements

The Munich Quantum Toolkit has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 101001318), the Bavarian State Ministry for Science and Arts through the Distinguished Professorship Program, as well as the Munich Quantum Valley, which is supported by the Bavarian state government with funds from the Hightech Agenda Bayern Plus.

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

mqt.bench-1.0.7.tar.gz (4.8 MB view details)

Uploaded Source

Built Distribution

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

mqt.bench-1.0.7-py3-none-any.whl (4.1 MB view details)

Uploaded Python 3

File details

Details for the file mqt.bench-1.0.7.tar.gz.

File metadata

  • Download URL: mqt.bench-1.0.7.tar.gz
  • Upload date:
  • Size: 4.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for mqt.bench-1.0.7.tar.gz
Algorithm Hash digest
SHA256 810134c642295d2533872e5427d027476d799fe3c3c3490ab80e8a009783c399
MD5 bffd3c487ff1e8b333d9fe8a93363b6a
BLAKE2b-256 0635eecfb0272d97e9b04753ab0fc40594a6d4689ca6cf8f7c95c78703cf25a3

See more details on using hashes here.

File details

Details for the file mqt.bench-1.0.7-py3-none-any.whl.

File metadata

  • Download URL: mqt.bench-1.0.7-py3-none-any.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for mqt.bench-1.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 4c634b8f484370e673dadb413047996d679dee8663c1f6c7a6d16e87cab76696
MD5 cf9b3598c5c6653eaf900f911302d570
BLAKE2b-256 5356cea773f84565f50b15a4b5bf13963a5648a7baf66dc19a0e3006591014ad

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