Non-Linear Adaptive Algorithms for Quantum Computing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of non-linear adaptive algorithms for quantum computing, focusing on leveraging quantum computing's unique properties to enhance algorithm efficiency. The core challenge in quantum computing lies in the inherent complexity of quantum systems, necessitating algorithms that can effectively navigate this complexity. Traditional approaches often fail to fully exploit this complexity. This research proposes a novel non-linear adaptive algorithm specifically designed to address these challenges. We will detail the core mechanism, highlighting how it integrates quantum properties to achieve improvements in key performance metrics. The paper concludes with a discussion of the potential impact of this algorithm on various quantum computing applications.

DOI: 10.5281/zenodo.22203013

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