Quantum Entanglement Geometry Transformation and Optimization

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the application of quantum entanglement to geometry optimization. We propose a novel algorithm, termed "Quantum Entanglement Geometry Transformation," that leverages the unique properties of entangled states to perform geometric transformations. The core mechanism hinges on manipulating the entangled state space to achieve optimized geometric results. The research explores the potential of this approach to surpass traditional geometric optimization techniques, particularly in scenarios involving complex and highly interconnected geometric structures. The paper details the algorithm's design, the mathematical framework underpinning its operation, and preliminary results demonstrating its effectiveness. The investigation considers the role of entanglement in the algorithm's optimization process and its potential impact on the resulting geometric structures.

DOI: 10.5281/zenodo.22489273

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