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Physics Simulation of Quantum Entanglement Optimization – Optimization of Quantum Entanglement States

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

Quantum entanglement, a bizarre phenomenon in which two or more particles become linked in such a way that they share the same fate, holds immense promise for quantum computing and quantum information processing. However, harnessing entanglement effectively requires precise control over its quantum states. This paper explores the application of physics simulation techniques to optimize quantum entanglement states, specifically focusing on a novel geometric optimization method leveraging the unique properties of entanglement. Traditional optimization methods struggle to fully capture the intricacies of entangled states, necessitating a shift towards a more sophisticated approach. We propose a new method that utilizes entanglement to guide the search for optimal quantum states, resulting in enhanced efficiency and control over quantum computation. The core claim is that this method provides a significant improvement in the performance of quantum algorithms by effectively manipulating entangled states. The mechanism involves the exploitation of entanglement's non-classical correlation to generate a more complex and structured quantum state, facilitating faster and more accurate computations. This research presents a theoretical framework and preliminary results demonstrating the effectiveness of this approach.

DOI
10.5281/zenodo.22202746

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