Non-linear Topological Quantum Computing: Adaptive Algorithm

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel adaptive algorithm for non-linear topological quantum computing, designed to dynamically adjust quantum system parameters based on environmental changes. Traditional quantum computing relies on fixed parameter sets, while our approach leverages the inherent adaptability of non-linear topological quantum computation. The core mechanism centers around a self-correcting process within the topological structure, allowing for continuous optimization and enhanced computational capabilities. We propose a framework for automated parameter tuning, demonstrating its potential to address limitations in current quantum algorithms. The paper explores the theoretical foundations and practical implementation of this adaptive approach, highlighting its advantages in terms of scalability and adaptability.

DOI: 10.5281/zenodo.22612339

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