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/.
If you have any questions, feel free to create a discussion or an issue on GitHub.
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.
MQT Bench is also available as a PennyLane dataset.
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.