Title: Non-Linear Self-Organized Matrix Geometry

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the unique geometry of non-linear self-organized matrices, exploring their potential to shape quantum computation. We propose a novel approach that integrates self-organization principles with geometric transformations, aiming to construct computational paradigms with enhanced efficiency and robustness. The core mechanism centers around the creation of a quantumized geometry, where matrix interactions exhibit non-linearity and shape-dependent properties. This research will delve into the implications of this geometric structure for quantum algorithm design and explore its potential to overcome limitations in current quantum computation approaches. The study aims to contribute to the advancement of quantum algorithms and provide a foundation for exploring novel computational paradigms.

DOI: 10.5281/zenodo.22486974

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