Quantum-Enhanced Geometric Complexity (QEG)
Jincheng Zhang
Abstract
This paper introduces Quantum-Enhanced Geometric Complexity (QEG), a novel method for analyzing geometric complexity that utilizes quantum entanglement to enhance pattern recognition capabilities. The core principle of QEG involves establishing entangled states of geometric primitives and applying quantum algorithms to identify complex correlations and subtle patterns within these states. The paper details the methodology, explores the potential benefits of quantum entanglement, and discusses future research directions. The goal is to develop a powerful tool for analyzing complex geometric shapes and patterns, potentially surpassing classical approaches in accuracy and efficiency.