Quantum Entanglement Non-Linear Computation: An Adaptive Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, offers unprecedented computational capabilities. This paper explores the design and implementation of a novel quantum computation algorithm, termed "Quantum Entanglement Non-Linear Computation" (QENLC), which leverages dynamically adjusted quantum state configurations to achieve enhanced parallelism and complex operations. The core mechanism centers on a "Quantum Entanglement Self-Adaptation" (QEAS) process, which iteratively adjusts the entanglement strength and direction based on real-time quantum state evolution. We demonstrate the algorithm's potential to surpass classical computational limitations by exploiting the inherent dynamism of quantum systems. This work presents a framework for dynamically shaping quantum states, offering a pathway to significantly accelerate computations and enable new quantum algorithms.

DOI: 10.5281/zenodo.22264431

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