Quantum Entanglement Complex Geometry Turing Machine

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of quantum entanglement to revolutionize the design and analysis of complex geometric Turing machines. Traditional Turing machines rely heavily on explicit algorithm design, while the inherent properties of quantum entanglement offer a fundamentally different approach to simulating complex geometric patterns and behaviors. We propose a novel architecture leveraging entanglement to model geometric intuition more accurately, ultimately enabling the precise characterization of geometric Turing machine behavior. The core mechanism centers around encoding geometric information within entangled states, allowing for dynamic and nuanced geometric simulations. This work introduces a new framework for geometric Turing machine design, demonstrating the potential for significantly enhanced computational power and a deeper understanding of geometric computation.

DOI: 10.5281/zenodo.22186936

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