Self-Adaptive Topological Transform for Quantum Computing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel quantum computing algorithm based on self-adaptive topological transform. We address the limitations of traditional quantum algorithms by incorporating the power of quantum entanglement and topological transformations to enhance computational efficiency. The core mechanism of this algorithm leverages the unique properties of topological phases to achieve significantly improved performance in various quantum computation tasks. We detail the design of the algorithm, its key components, and its potential advantages over existing techniques. The paper concludes with a discussion of the experimental validation and future research directions.

DOI: 10.5281/zenodo.22188025

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