Nonlinear Geometry Topology - Based on Self-Organizing Structures
Jincheng Zhang
Abstract
This paper explores and leverages the self-organizing properties of topological structures to design a novel computational framework utilizing quantum entanglement. The core claim is to investigate and exploit the self-assembly characteristics of topological geometry, specifically incorporating techniques like topological optimization and self-consistent groups, to enable high-parallelism and adaptive computation. The proposed mechanism involves introducing self-organizing topological structures as the foundation for computation, coupled with quantum entanglement for dynamic algorithms and adaptive resource allocation. This approach offers a fundamentally different approach to computational design, addressing limitations of traditional frameworks in complex problem-solving.