Unconditional correctness of recent quantum algorithms for factoring and computing discrete logarithms

Unconditional correctness of recent quantum algorithms for factoring and computing discrete logarithms
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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.


💡 Research Summary

The paper addresses a long‑standing gap in the theoretical foundation of Regev’s multidimensional quantum algorithms for integer factorisation and discrete logarithms. While Shor’s original algorithm (1994) solves both problems in polynomial time using a quantum circuit of size $O(n^{2}\log n)$ (with $n=\lceil\log_{2}N\rceil$) and $O(n\log n)$ qubits, Regev (2023) proposed a higher‑dimensional variant that dramatically reduces the gate count to $O(n^{3/2}\log n)$ at the cost of invoking the quantum sub‑circuit $O(\sqrt n)$ times. The speed‑up hinges on choosing a set of small integers $b_{1},\dots,b_{d}$ (with $d\approx\sqrt{\log N}$) such that a short exponent vector $(e_{1},\dots,e_{d})$ exists with
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