Self-Adaptive Topology for Quantum Computation – Based on Topological Quantum Computation

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum computation offers unprecedented computational power, but its implementation faces significant challenges due to the fragility of quantum states. Self-adaptive topology is a promising approach to enhance the robustness and scalability of quantum systems. This paper explores the application of self-adaptive topology to quantum computation, focusing on the design of a novel quantum algorithm that leverages the unique properties of topological quantum states. We present a framework for modeling complex topological structures, utilizing quantum topological properties to construct a tailored quantum algorithm for solving problems with intricate topological landscapes. The core mechanism centers around the strategic manipulation of quantum states to mimic and exploit topological constraints, leading to enhanced computational capabilities. This work demonstrates the potential of self-adaptive topology to unlock new avenues in quantum algorithm design and offer solutions for tackling computationally challenging problems.

DOI: 10.5281/zenodo.22219627

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