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量子纠缠非线性计算模型 (QNCM)

Jincheng Zhang

Published Sep 6, 2026• 0 citations
Publisher

Abstract

Quantum Entanglement Non-Linear Computing Model (QNCM) presents a novel computational framework leveraging the unique properties of quantum entanglement. This research explores the potential of utilizing entanglement as a fundamental building block for enhanced parallel computation and optimization of quantum algorithms. The core mechanism centers on the design of a QNM model that strategically manipulates entangled states to achieve computational efficiency and quantum algorithm advancements. This paper will detail the theoretical foundation, implementation considerations, and initial experimental results demonstrating the efficacy of QNM within the context of quantum information processing. Furthermore, we will discuss the implications of this model for expanding the capabilities of quantum computing.

DOI
10.5281/zenodo.22485993

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Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers the potential for unprecedented computational capabilities. This paper explores the design of a novel non-linear computational model predicated on quantum entanglement, aiming to overcome limitations imposed by classical computational architectures in tackling complex problems. We propose a mechanism centered around the manipulation of entangled states to facilitate parallel processing and enhanced computational efficiency. The core claim is that this model can significantly accelerate complex calculations, particularly those demonstrating inherent non-linear dependencies. This research investigates the theoretical foundations and practical implementation of this approach, focusing on the potential for achieving significant performance gains compared to conventional algorithms. The paper concludes with a discussion of the challenges and future directions for this promising field of quantum computation.
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