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) and is hosted at https://www.cda.cit.tum.de/mqtbench/.
If you have any questions, feel free to create a discussion or an issue on GitHub.
Contributors and Supporters
The Munich Quantum Toolkit (MQT) is developed by the Chair for Design Automation at the Technical University of Munich and supported by the Munich Quantum Software Company (MQSC). Among others, it is part of the Munich Quantum Software Stack (MQSS) ecosystem, which is being developed as part of the Munich Quantum Valley (MQV) initiative.
Thank you to all the contributors who have helped make MQT Bench a reality!
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 BenchmarkLevel, get_benchmark
# get a benchmark circuit on algorithmic level representing the GHZ state with 5 qubits
qc_algorithmic_level = get_benchmark(
benchmark_name="ghz", level=BenchmarkLevel.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.
Cite This
If you want to cite MQT Bench, please use the following BibTeX entry:
@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).
Release files for mqt-bench 2.0.1
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| File | Size | Uploaded | |
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| mqt_bench-2.0.1.tar.gz | 890.3 kB | Details |
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|---|---|---|---|---|
| mqt_bench-2.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 961.4 kB
Release files / mqt_bench-2.0.1.tar.gz
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