Quantum State Simulation Evolution

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum state simulation is a fundamental aspect of quantum computing and materials science, offering an unprecedented ability to model complex quantum systems. However, traditional simulation methods often struggle with the computational complexity of these systems, particularly when dealing with non-linear dynamics. This paper introduces a novel quantum state simulation algorithm based on the principles of quantum entanglement and self-adjusting entanglement. We demonstrate the potential of this approach to overcome these limitations, achieving higher accuracy and efficiency through the exploitation of quantum entanglement. The core mechanism focuses on dynamically adjusting the entanglement structure to optimize the simulation process, effectively mitigating the inherent limitations of classical methods. This research explores the potential of this evolution to facilitate more efficient and precise simulation of complex non-linear systems, holding promising implications for various scientific and engineering applications.

DOI: 10.5281/zenodo.22264301

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