Quantum Algorithm Acceleration Based on Quantum Demagnetization

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores a novel approach to accelerating quantum algorithms by leveraging the phenomenon of quantum demagnetization, commonly referred to as quantum decoherence. The core idea is to decompose complex quantum algorithms into a series of quantum operations and strategically order them based on estimated decoherence times. By minimizing the spread of errors – a primary consequence of decoherence – we aim to enhance the overall computational efficiency. This research focuses on the critical role of decoherence time in quantum computing and presents a framework for algorithm optimization specifically designed to exploit this inherent characteristic. The approach offers a potential pathway to improve the performance of quantum algorithms, particularly those susceptible to decoherence effects. We detail the theoretical framework, outlining the key concepts and the proposed methodology.

DOI: 10.5281/zenodo.22335411

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