An Evidence-Driven Classification Framework forShor’s Algorithm: Implementations,Optimizations, and Cryptographic Impact

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Shor’s algorithm remains the most important example of quantum advantage,with significant implications for integer factorization and public-key cryptog-raphy. Despite its well-established theoretical foundations, practical realizationis constrained by circuit depth, quantum arithmetic overhead, noise sensitivity,verification complexity, and fault-tolerance requirements. This paper introducesQ Class, an evolutionary-applicable, function-oriented, evidence-based classifi-cation system for assessing the practical evolution, maturity, and cryptographicrelevance of Shor’s algorithm. The framework is validated through a systematicmapping of literature published since Shor’s original 1994 paper. It offers thepractical evolution of Shor’s algorithm a new direction rather than algorithmicnovelty, highlighting persistent bottlenecks and research priorities.

Article activity feed