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Quantum Entanglement Nonlinear Correlation Modeling and Optimization

Jincheng Zhang

Published Sep 1, 2026• 0 citations
Publisher

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, presents unique challenges for designing and optimizing quantum systems. This paper investigates the modeling and optimization of quantum entanglement using a novel approach that leverages non-linear correlations. We propose a system of optimization algorithms specifically designed to address the limitations of standard optimization techniques, focusing on the inherent properties of entangled states. The core claim is that a model incorporating this non-linear entanglement allows for more precise and efficient control of quantum systems, ultimately leading to enhanced quantum computing performance. This work explores the fundamental principles behind this approach and details the design and implementation of the optimization algorithm.

DOI
10.5281/zenodo.22222686

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