Quantum Algorithm for Dimensional Transformation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum algorithm designed for efficient dimensional transformation, leveraging the principles of quantum entanglement to accelerate the process and expand the capabilities of quantum computation. The algorithm centers around utilizing quantum entanglement to establish a rapid and effective mapping of dimensionality, while incorporating quantum optimization techniques to refine the resulting vector space. We explore the potential of this approach to overcome limitations of traditional methods, offering a promising pathway toward enhanced dimensionality manipulation and quantum algorithm performance. The core mechanism of this algorithm involves the creation and manipulation of entangled states to represent and transform data, ultimately leading to optimized results.

DOI: 10.5281/zenodo.22191550

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