基于决策图的量子计算工具

R. Wille, S. Hillmich, Lukas Burgholzer
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引用次数: 9

摘要

即使在近期的NISQ时代,量子计算机也有前景的优势,因此有一个活跃的社区开发相应量子电路设计的软件和工具包。尽管潜在的问题是不同的,但是来自设计自动化社区的专业知识可以在这里提供帮助,他们在过去几十年中为传统领域开发了复杂的设计解决方案。在这方面,决策图为解决许多设计任务(如量子电路的模拟、合成和验证)提供了有希望的基础。然而,相应工具的用户通常对这些基于决策图的方法如何工作以及它们的优势和局限性缺乏适当的背景知识或直觉。在这项工作中,我们首先回顾了决策图如何被使用的概念,例如,用于量子电路的模拟和验证。随后,为了使量子计算的决策图更易于访问,我们提出了一个量子决策图的可视化工具,使用户可以在上述设计任务中探索决策图的行为。最后,我们提出了基于决策图的工具,用于使用上述方法模拟和验证量子电路,作为开源慕尼黑量子工具包(MQT)的一部分,这是慕尼黑工业大学和林茨约翰内斯开普勒大学开发的一套量子计算工具,并在麻省理工学院许可下发布。有关相应工具的更多信息,请访问https://github.com/cda-tum/ddsim。通过本文,我们为希望使用它们的潜在用户以及旨在扩展它们的潜在开发人员提供了概念和工具的介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tools for Quantum Computing Based on Decision Diagrams
With quantum computers promising advantages even in the near-term NISQ era, there is a lively community that develops software and toolkits for the design of corresponding quantum circuits. Although the underlying problems are different, expertise from the design automation community, which developed sophisticated design solutions for the conventional realm in the past decades, can help here. In this respect, decision diagrams provide a promising foundation for tackling many design tasks such as simulation, synthesis, and verification of quantum circuits. However, users of the corresponding tools often do not have a proper background or an intuition about how these methods based on decision diagrams work and what their strengths and limits are. In this work, we first review the concepts of how decision diagrams can be employed, e.g., for the simulation and verification of quantum circuits. Afterwards, in an effort to make decision diagrams for quantum computing more accessible, we then present a visualization tool for quantum decision diagrams, which allows users to explore the behavior of decision diagrams in the design tasks mentioned above. Finally, we present decision diagram-based tools for simulation and verification of quantum circuits using the methods discussed above as part of the open-source Munich Quantum Toolkit (MQT)—a set of tools for quantum computing developed at the Technical University of Munich and the Johannes Kepler University Linz and released under the MIT license. More information about the corresponding tools is available at https://github.com/cda-tum/ddsim. By this, we provide an introduction of the concepts and tools for potential users who would like to work with them as well as potential developers aiming to extend them.
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