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

Author:

Quetschlich Nils1,Burgholzer Lukas1,Wille Robert12

Affiliation:

1. Chair for Design Automation, Technical University of Munich, Germany

2. Software Competence Center Hagenberg GmbH (SCCH), Austria

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 MQT Bench benchmark suite (as part of the 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.

Funder

European Research Council

Publisher

Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften

Subject

Physics and Astronomy (miscellaneous),Atomic and Molecular Physics, and Optics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. QFaaS: A Serverless Function-as-a-Service framework for Quantum computing;Future Generation Computer Systems;2024-05

2. A user-centric quantum benchmarking test suite and evaluation framework;Quantum Information Processing;2023-10-31

3. Design Method of Meta Operators Based on Equivalence Class Distribution;Journal of Physics: Conference Series;2023-10-01

4. Hypergraphic Partitioning of Quantum Circuits for Distributed Quantum Computing;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17

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