机密量子计算

Barbora Hrdá, Sascha Wessel
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引用次数: 0

摘要

随着量子平台数量的增加,量子计算变得越来越容易实现。在这些系统上运行的数据和算法的机密性和完整性是需要保护的重要资产,不受不可信方的影响。以前的方法侧重于单个子区域的加密,通常至少使用混合客户端,并且没有考虑从经典客户端通过平台到量子计算硬件的整个路径。基于量子算法的分类,我们展示了值得保护的资产,发展了第三方量子硬件和量子计算平台上的数据流,并提出了一个解决处理数据和代码的机密性和完整性的概念架构。我们的方法表明,传统客户机已经可以实现数据的机密性,而代码机密性仍然是一个悬而未决的问题。我们的方法涵盖了大多数复杂性类的完整性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Confidential Quantum Computing
Quantum computing is becoming more accessible with increasing numbers of quantum platforms. The confidentiality and integrity of data and algorithms running on these systems are important assets that need to be protected from untrusted parties. Previous approaches focus on the encryption of individual sub-areas, often using at least hybrid clients, and do not take the entire path from the classical client via a platform to the quantum computing hardware into consideration. Based on the classification of quantum algorithms we show the assets worth protecting, evolve the data flow on third-party quantum hardware and quantum computing platforms, and propose a concept architecture addressing confidentiality and integrity of processed data and code. Our approach shows that confidentiality can already be achieved for data with classical clients, while code confidentiality remains an open question. Our approach covers integrity for most complexity classes.
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