Quantum Entanglement Nonlinear Mapping: Algorithm Design

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers a unique pathway for information processing and communication. This paper investigates the design of a novel algorithm, Quantum Entanglement Nonlinear Mapping (QENM), leveraging the properties of entangled states to enhance the efficiency of quantum information transfer and computation. The core mechanism centers around exploiting the entanglement dynamics to create adaptive mappings, allowing for targeted information extraction and significantly improved computational capabilities. This research introduces a novel approach to quantum data manipulation, aiming to address limitations in current quantum technologies. The paper presents a comprehensive discussion of the algorithm's design, its potential applications, and preliminary results demonstrating enhanced performance in specific quantum scenarios.

DOI: 10.5281/zenodo.22189196

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