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This paper provides a rigorous mathematical proof validating the unconditional correctness of Regev's improved quantum algorithm for factoring and discrete logarithms, removing reliance on unproven number-theoretic conjectures. By leveraging analytic number theory tools like zero-density estimates, the work solidifies the theoretical foundation for these critical quantum computing primitives. This advancement is significant for researchers assessing the robustness and practical feasibility of post-Shor quantum algorithms.
Unconditional correctness of recent quantum algorithms for factoring and computing discrete logarithms
arXiv:2404.16450v3 Announce Type: replace-cross Abstract: In 1994, Shor introduced his famous quantum algorithm to factor integers and compute discrete logarithms in polynomial time. In 2023, Regev proposed a multi-dimensional version of Shor's algorithm that requires far fewer quantum gates. His algorithm relies on a number-theoretic conjecture on the elements in $(\mathbb{Z}/N\mathbb{Z})^{\times}$ that can be written as short products of very small prime numbers. We prove a version of this conjecture using tools from analytic number theory such as zero-density estimates. As a result, we obtain an unconditional proof of correctness of this improved quantum algorithm and of subsequent variants.
Abstract:In 1994, Shor introduced his famous quantum algorithm to factor integers and compute discrete logarithms in polynomial time. In 2023, Regev proposed a multi-dimensional version of Shor's algorithm that requires far fewer quantum gates. His algorithm relies on a number-theoretic conjecture on the elements in $(\mathbb{Z}/N\mathbb{Z})^{\times}$ that can be written as short products of very small prime numbers. We prove a version of this conjecture using tools from analytic number theory such as zero-density estimates. As a result, we obtain an unconditional proof of correctness of this improved quantum algorithm and of subsequent variants.
Minor typos corrected. 25 pages
Number Theory (math.NT); Computational Complexity (cs.CC); Quantum Physics (quant-ph)
arXiv:2404.16450 [math.NT]
(or arXiv:2404.16450v3 [math.NT] for this version)
https://doi.org/10.48550/arXiv.2404.16450 Focus to learn more arXiv-issued DOI via DataCite
https://doi.org/10.1017/fmp.2025.10023 Focus to learn more DOI(s) linking to related resources
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