Self-Adaptive Topology and High-Dimensional Quantum Computing: A Coupling Framework

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the potential of self-adaptive topology and high-dimensional quantum computing through a novel coupling framework. The core challenge in designing quantum algorithms is the intricate and often laborious task of parameter optimization. We propose a system where the optimization process is intrinsically linked to the inherent properties of topology, allowing for automated parameter tuning and improved quantum computation efficiency and accuracy. The framework leverages the self-adaptive nature of topology to dynamically adjust quantum states, potentially achieving superior performance compared to traditional methods. We present a conceptual model demonstrating the potential benefits of this approach, highlighting the role of topology in guiding the optimization process. This work explores the implications of this coupling for the design of novel quantum algorithms and their applicability in various quantum computing paradigms. The resulting framework offers a promising avenue for advancing the capabilities of high-dimensional quantum systems.

DOI: 10.5281/zenodo.22320698

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