Quantum Self-Organization Framework for Computation

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel computational framework based on quantum self-organization principles, specifically designed to explore and manipulate complex topological structures through quantum entanglement. Traditional topological algorithms often rely on static models, limiting their ability to discover intricate topological configurations. This framework leverages quantum entanglement to facilitate this discovery and manipulation, offering a fundamentally new approach to computation. The core mechanism involves creating entangled quantum states, which can then be used to identify and evolve topological landscapes, ultimately leading to novel computational capabilities. This work presents a conceptual framework with significant implications for the development of quantum algorithms for topological data analysis and potentially, the creation of novel topological materials.

DOI: 10.5281/zenodo.22455252

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