Formal Verification vs. Quantum Uncertainty

Robert Rand, K. Hietala, M. Hicks
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引用次数: 11

Abstract

14 Programming a quantum computer is difficult and writing a program that will execute successfully 15 on quantum devices that exist today (or are likely to exist in the near future) is a daunting task. Not 16 only is quantum computing inherently uncertain, the quantum computers that we have introduce 17 a variety of novel errors that are difficult to predict or work around. Techniques from formal 18 verification will allow us to quantify and mitigate these errors if we can bridge the gap between 19 high level languages and machine specifications. In this paper, we review existing approaches to 20 quantum program verification and propose a new approach focused not only on long term quantum 21 programming, but on the quantum programs we can run today. 22 2012 ACM Subject Classification Software and its engineering → Formal software verification; 23 Hardware → Quantum error correction and fault tolerance 24
形式验证与量子不确定性
为量子计算机编程很困难,编写一个能在现有(或可能在不久的将来)量子设备上成功执行的程序是一项艰巨的任务。量子计算不仅具有固有的不确定性,我们所使用的量子计算机还引入了各种难以预测或解决的新错误。如果我们能够弥合高级语言和机器规范之间的差距,那么来自正式验证的技术将允许我们量化并减轻这些错误。在本文中,我们回顾了现有的量子程序验证方法,并提出了一种新的方法,不仅关注长期的量子编程,而且关注我们今天可以运行的量子程序。22 2012 ACM学科分类软件及其工程→正式软件验证;硬件→量子纠错和容错
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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