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Toward Classical Algorithms Competing with Shor's Quantum Factorization (IEEE)

Yoon A Limsuwan

Published Dec 17, 2025• 0 citations
Publisher
DOI
10.5281/zenodo.17958113

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We consider how to optimize memory use and computation time in operating a quantum computer. In particular, we estimate the number of memory quantum bits (qubits) and the number of operations required to perform factorization, using the algorithm suggested by Shor [in Proceedings of the 35th Annual Symposium on Foundations of Computer Science, edited by S. Goldwasser (IEEE Computer Society, Los Alamitos, CA, 1994), p. 124]. A K-bit number can be factored in time of order ${\mathit{K}}^{3}$ using a machine capable of storing 5K+1 qubits. Evaluation of the modular exponential function (the bottleneck of Shor's algorithm) could be achieved with about 72${\mathit{K}}^{3}$ elementary quantum gates; implementation using a linear ion trap would require about 396${\mathit{K}}^{3}$ laser pulses. A proof-of-principle demonstration of quantum factoring (factorization of 15) could be performed with only 6 trapped ions and 38 laser pulses. Though the ion trap may never be a useful computer, it will be a powerful device for exploring experimentally the properties of entangled quantum states. \textcopyright{} 1996 The American Physical Society.

arXiv:quant-ph/9602016•Physical Review A•Aug 1, 1996•268 citations
Shor’s factorization algorithm is one of the prime examples in which a quantum computer demonstrates enormous power surpassing its classical counterpart [1, 2]. Although the factorization algorithm may be carried out with a classical computer, it takes an exponentially longer time (i.e., practically impossible) compared to Shor’s quantum algorithm. Shor’s algorithm is almost identical with the classical one; it consists of a sequence of classical steps with one exception, which is replaced by a quantum algorithm. Our presentation here closely follows [3] and [4].
We consider how to optimize memory use and computation time in operating a quantum computer. In particular, we estimate the number of memory quantum bits (qubits) and the number of operations required to perform factorization, using the algorithm suggested by Shor [in Proceedings of the 35th Annual Symposium on Foundations of Computer Science, edited by S. Goldwasser (IEEE Computer Society, Los Alamitos, CA, 1994), p. 124]. A K-bit number can be factored in time of order K3{\mathit{K}}^{3}K3 using a machine capable of storing 5K+1 qubits. Evaluation of the modular exponential function (the bottleneck of Shor's algorithm) could be achieved with about 72K3{\mathit{K}}^{3}K3 elementary quantum gates; implementation using a linear ion trap would require about 396K3{\mathit{K}}^{3}K3 laser pulses. A proof-of-principle demonstration of quantum factoring (factorization of 15) could be performed with only 6 trapped ions and 38 laser pulses. Though the ion trap may never be a useful computer, it will be a powerful device for exploring experimentally the properties of entangled quantum states. \textcopyright{} 1996 The American Physical Society.