Self-Organizing Topological Quantum Computing Algorithm

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel quantum computing algorithm based on self-organizing topological structures. Traditional quantum algorithms often rely on precise parameter adjustments and complex control sequences, which can be computationally intensive and susceptible to errors. This research explores the potential of utilizing topological structures to enhance quantum computation by dynamically adjusting the quantum state to optimize performance. We detail a method for generating and manipulating these topological states, showcasing its ability to improve the fidelity of quantum operations and ultimately enhance the efficiency of quantum algorithms. The core of this work lies in a framework that leverages the inherent robustness and adaptability of topological phases to mitigate errors and accelerate computations. The algorithm's design incorporates a novel optimization strategy based on the topological properties of the generated states, leading to a demonstrable improvement in quantum state fidelity compared to existing approaches. This advancement holds significant promise for advancing the practical application of quantum computing.

DOI: 10.5281/zenodo.22289328

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