MQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing
1Chair for Design Automation, Technical University of Munich, Germany
2Software Competence Center Hagenberg GmbH (SCCH), Austria
| Published: | 2023-07-20, volume 7, page 1062 |
| Eprint: | arXiv:2204.13719v3 |
| Doi: | https://doi.org/10.22331/q-2023-07-20-1062 |
| Citation: | Quantum 7, 1062 (2023). |
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Abstract
Quantum software tools for a wide variety of design tasks on and across different levels of abstraction are crucial in order to eventually realize useful quantum applications. This requires practical and relevant benchmarks for new software tools to be empirically evaluated and compared to the current state of the art. Although benchmarks for specific design tasks are commonly available, the demand for an overarching cross-level benchmark suite has not yet been fully met and there is no mutual consolidation in how quantum software tools are evaluated thus far. In this work, we propose the $\textit{MQT Bench}$ benchmark suite (as part of the $\textit{Munich Quantum Toolkit}$, MQT) based on four core traits: (1) cross-level support for different abstraction levels, (2) accessibility via an easy-to-use web interface (https://www.cda.cit.tum.de/mqtbench/) and a Python package, (3) provision of a broad selection of benchmarks to facilitate generalizability, as well as (4) extendability to future algorithms, gate-sets, and hardware architectures. By comprising more than 70,000 benchmark circuits ranging from 2 to 130 qubits on four abstraction levels, MQT Bench presents a first step towards benchmarking different abstraction levels with a single benchmark suite to increase comparability, reproducibility, and transparency.
Featured image: User interface of the MQT Bench website (https://www.cda.cit.tum.de/mqtbench/).
MQT Bench comes as an easy-to-use website and a Python Package while its implementation is open-source available on GitHub.
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