肖尔算法在有噪声的情况下不能对大整数进行因式分解

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Science China Information Sciences Pub Date : 2024-06-18 DOI:10.1007/s11432-023-3961-3
Jin-Yi Cai
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引用次数: 0

摘要

我们考虑了肖尔在有噪声量子门环境下的量子因式分解算法。在(受控)旋转门的随机噪声通用模型下,我们证明了当噪声超过 n(待因式分解整数的比特数)的极小值时,该算法不会对 pq 形式的整数进行因式分解,其中 p 和 q 来自定义明确的正密度素数集。我们进一步证明,在随机素数对(p, q)上,肖尔的因式分解算法以 1 - o(1) 的概率,不会因式分解 pq 形式的数,且随机噪音水平相同。
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Shor’s algorithm does not factor large integers in the presence of noise

We consider Shor’s quantum factoring algorithm in the setting of noisy quantum gates. Under a generic model of random noise for (controlled) rotation gates, we prove that the algorithm does not factor integers of the form pq when the noise exceeds a vanishingly small level in terms of n—the number of bits of the integer to be factored, where p and q are from a well-defined set of primes of positive density. We further prove that with probability 1 − o(1) over random prime pairs (p, q), Shor’s factoring algorithm does not factor numbers of the form pq, with the same level of random noise present.

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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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