Adaptive Topology Transformations for Quantum Computing

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel adaptive topology transformation algorithm designed for quantum computing, enabling dynamic manipulation of complex topological structures. Traditional topology transformations rely on classical computational methods, while this approach leverages quantum computing's unique properties to achieve more efficient topological optimization. The core mechanism involves quantum state manipulation to induce desired topological changes, offering a fundamentally different approach to topology within the quantum realm. The paper details the algorithm's architecture, key quantum operations, and potential applications, emphasizing its potential to significantly enhance quantum algorithms and computational capabilities.

DOI: 10.5281/zenodo.22158365

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