Quantum Simulation Geometric Transformation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum simulation offers a promising avenue for simulating complex geometric transformations with unprecedented accuracy. This paper presents a novel quantum simulation algorithm designed to precisely model and simulate geometric transformations, incorporating automated parameter adjustment to enhance simulation precision. We introduce a modified quantum algorithm that leverages the inherent properties of quantum systems to achieve this goal. The core mechanism involves using quantum states to represent geometric primitives and performing iterative transformations guided by a dynamic parameter adjustment process. This approach overcomes limitations of conventional methods, particularly in handling intricate geometric configurations. The paper details the algorithm's design, implementation, and results, demonstrating its effectiveness in simulating a range of geometric transformations. We also provide a comprehensive analysis of the algorithm's performance and discuss potential future research directions.

DOI: 10.5281/zenodo.22203695

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