Nonlinear Geometric Mapping – Quantum Computing Driven

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates a novel nonlinear geometric mapping technique leveraging quantum computing to optimize and perform computations on complex geometric structures. The core concept revolves around transforming geometric transformations into quantum states through entanglement and quantum decoherence. We explore the potential of quantum algorithms to enhance geometric analysis, particularly in areas requiring intricate manipulation and precision. This research focuses on identifying and implementing a specific mapping strategy, demonstrating its efficacy through theoretical analysis and preliminary simulation. The paper highlights the unique advantages offered by this approach, emphasizing the potential for improved computational efficiency and the exploration of novel geometric problem-solving strategies.

DOI: 10.5281/zenodo.22267882

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