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

Nils Quetschlich1, Lukas Burgholzer1, and Robert Wille1,2

1Chair for Design Automation, Technical University of Munich, Germany
2Software Competence Center Hagenberg GmbH (SCCH), Austria

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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.

MQT Bench comes as an easy-to-use website and a Python Package while its implementation is open-source available on GitHub.

To utilize quantum computers for the different application domains, the respective to-be-solved problem must be encoded into a quantum circuit. Afterwards, that circuit needs to be executed to determine the desired solution. For that, quantum software tools are essential, e.g., to classically simulate the considered quantum circuit or to compile it before it can be executed on a quantum computer. Whenever such a quantum software tool is proposed, it is important to empirically evaluate its performance and to compare it to the state of the art. For that purpose, MQT Bench (as part of the Munich Quantum Toolkit, MQT) is proposed. MQT Bench provides over 70,000 benchmarks on various abstraction levels (depending on what level the to-be-evaluated software tool operates on) ranging from 2 to 130 qubits aiming for increased comparability, reproducibility, and transparency.

► BibTeX data

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