New factorization algorithm based on a continuous representation of truncated Gauss sums

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Citation of Original Publication

Tamma, Vincenzo, Heyi Zhang, Xuehua He, Augusto Garuccio, and Yanhua Shih. “New Factorization Algorithm Based on a Continuous Representation of Truncated Gauss Sums.” Journal of Modern Optics 56, nos. 18–19 (2009): 2125–32. https://doi.org/10.1080/09500340903254700.

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This is an original manuscript of an article published by Taylor & Francis in Journal of Modern Optics on 2009-09-22, available at: https://doi.org/10.1080/09500340903254700.

Abstract

In this paper, we will describe a new factorization algorithm based on the continuous representation of Gauss sums, generalizable to orders j > 2. Such an algorithm allows one, for the first time, to find all the factors of a number N in a single run without precalculating the ratio N/l, where l are all the possible trial factors. Continuous truncated exponential sums turn out to be a powerful tool for distinguishing factors from non-factors (we also suggest, with regard to this topic, to read an interesting paper by S. Wölk et al. also published in this issue [Wölk, Feiler, Schleich, J. Mod. Opt. in press]) and factorizing different numbers at the same time. We will also describe two possible M-path optical interferometers, which can be used to experimentally realize this algorithm: a liquid crystal grating and a generalized symmetric Michelson interferometer.