Nonlinear Geometry Transformation & Quantum Computing Integration

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the synergistic potential of nonlinear geometry transformations and quantum computing. Traditional geometric algorithms often rely on approximations, limiting precision and computational efficiency. We propose a novel framework integrating these two powerful paradigms to achieve highly precise and efficient geometric manipulation and calculation. This work explores the application of quantum entanglement and quantum algorithms to enhance the capabilities of existing transformations, offering a pathway towards advanced geometric modeling and simulation. The core mechanism centers on leveraging quantum properties to accelerate and refine geometric processes, ultimately paving the way for novel applications in areas such as computer graphics, data analysis, and fundamental physics research.

DOI: 10.5281/zenodo.22194175

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