Generating hard Ising instances with planted solutions using post-quantum cryptographic protocols

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-05-01 Epub Date: 2025-01-22 DOI:10.1016/j.future.2025.107721
Salvatore Mandrà , Humberto Munoz-Bauza , Gianni Mossi , Eleanor G. Rieffel
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Abstract

In this paper we present a novel method to generate hard instances with planted solutions based on the public–private McEliece post-quantum cryptographic protocol. Unlike other planting methods rooted in the infinite-size statistical analysis, our cryptographic protocol generates instances which are all hard (in cryptographic terms), with the hardness tuned by the size of the private key, and with a guaranteed unique ground state. More importantly, because of the private–public key protocol, planted solutions cannot be easily recovered by a direct inspection of the planted instances without the knowledge of the private key used to generate them, therefore making our protocol suitable to test and evaluate quantum devices without the risk of “backdoors” being exploited.
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使用后量子加密协议生成具有植入解决方案的硬Ising实例
本文提出了一种基于公私McEliece后量子密码协议的带种植解的硬实例生成新方法。与植根于无限大小统计分析的其他种植方法不同,我们的加密协议生成的实例都是硬的(在密码学术语中),其硬度由私钥的大小调整,并保证具有唯一的基态。更重要的是,由于私钥-公钥协议,在不知道用于生成它们的私钥的情况下,通过直接检查植入的实例,无法轻松恢复植入的解决方案,因此使我们的协议适合测试和评估量子设备,而不会有“后门”被利用的风险。
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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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