Skip to main content

MQT Bench - A MQT tool for Benchmarking Quantum Software Tools

Project description

PyPI OS License: MIT CI CD Documentation codecov

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. 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/.

Documentation

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

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.

Availability as a PennyLane Dataset

MQT Bench is also available as a PennyLane dataset.

References

In case you are using MQT Bench in your work, we would be thankful if you referred to it by citing the following publication:

@article{quetschlich2023mqtbench,
  title         = {{{MQT Bench}}: {Benchmarking Software and Design Automation Tools for Quantum Computing}},
  shorttitle    = {{MQT Bench}},
  journal       = {{Quantum}},
  author        = {Quetschlich, Nils and Burgholzer, Lukas and Wille, Robert},
  year          = {2023},
  doi           = {10.22331/q-2023-07-20-1062},
  eprint        = {2204.13719},
  primaryclass  = {quant-ph},
  archiveprefix = {arxiv},
  note          = {{{MQT Bench}} is available at \url{https://www.cda.cit.tum.de/mqtbench/}},
}

Acknowledgements

This project received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 101001318), was part of the Munich Quantum Valley, which is supported by the Bavarian state government with funds from the Hightech Agenda Bayern Plus, and has been supported by the BMWK on the basis of a decision by the German Bundestag through project QuaST, as well as by the BMK, BMDW, and the State of Upper Austria in the frame of the COMET program (managed by the FFG).

TUM Logo Coat of Arms of Bavaria ERC Logo MQV Logo

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-1.1.5.tar.gz (4.7 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-1.1.5-py3-none-any.whl (4.2 MB view details)

Uploaded Python 3

File details

Details for the file mqt_bench-1.1.5.tar.gz.

File metadata

  • Download URL: mqt_bench-1.1.5.tar.gz
  • Upload date:
  • Size: 4.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for mqt_bench-1.1.5.tar.gz
Algorithm Hash digest
SHA256 efb6d14d7ce5b350184e69d218d951aedb0396f6d0192ed09d4217d14f5fa93d
MD5 bca463d07168802a1c69486376ad30ee
BLAKE2b-256 f60d7250b19a839d24d754a55382f6adb9e8e5585c71afa7dafea79f34492e79

See more details on using hashes here.

File details

Details for the file mqt.bench-1.1.5-py3-none-any.whl.

File metadata

  • Download URL: mqt.bench-1.1.5-py3-none-any.whl
  • Upload date:
  • Size: 4.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for mqt.bench-1.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f3dda148807d717e2a3fb6e123710e3e20c0beea0015e206b4bd9fe899e36427
MD5 6203df63243292bc0bae6a8f97732441
BLAKE2b-256 099726a28d2ebc2ba9ab7c48638a33db80b75de8cd3bff91f50fa22613db5f64

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