量子计算的计算机辅助设计

R. Wille, A. Fowler, Y. Naveh
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引用次数: 6

摘要

量子计算目前正从一个学术概念走向一个实际的现实。近年来,相应量子计算机的物理实现取得了巨大进展,IBM、谷歌、英特尔、Rigetti、微软和阿里巴巴等大公司也参与其中。在量子化学、优化、机器学习、密码学、量子模拟和线性方程系统等应用领域,这些设备有望比传统计算机大幅提速。计算机辅助设计和验证(简称CAD)社区需要为这种革命性的新技术做好准备。虽然目前对量子计算机自动设计方法的研究正在进行中,但CAD社区和量子计算社区之间的协调仍然太少。因此,过去提出的许多CAD方法要么解决了错误的问题,要么未能达到最终用户。在这篇总结文章中,我们提供了对双方的一瞥。为此,我们回顾和讨论了CAD领域的选定成就以及量子领域内的开放挑战。这些例子展示了最近最先进的技术,但也概述了两个社区有待完成的剩余工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer-Aided Design for Quantum Computation
Quantum computation is currently moving from an academic idea to a practical reality. The recent past has seen tremendous progress in the physical implementation of corresponding quantum computers - also involving big players such as IBM, Google, Intel, Rigetti, Microsoft, and Alibaba. These devices promise substantial speedups over conventional computers for applications like quantum chemistry, optimization, machine learning, cryptography, quantum simulation, and systems of linear equations. The Computer-Aided Design and Verification (jointly referred as CAD) community needs to be ready for this revolutionizing new technology. While research on automatic design methods for quantum computers is currently underway, there is still far too little coordination between the CAD community and the quantum computation community. Consequently, many CAD approaches proposed in the past have either addressed the wrong problems or failed to reach the end users. In this summary paper, we provide a glimpse into both sides. To this end, we review and discuss selected accomplishments from the CAD domain as well as open challenges within the quantum domain. These examples showcase the recent state-of-the-art but also outline the remaining work left to be done in both communities.
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