Quantum Simulation Adaptive Geometry Transformation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the development of a novel quantum simulation framework centered around dynamic geometric transformation adjustment. Traditional quantum simulation often necessitates manual parameter tuning, limiting flexibility and potentially impacting accuracy. We propose a quantum geometric technique, leveraging quantum states to iteratively refine geometric transformations during the simulation process, resulting in improved accuracy and reduced computational burden. The core mechanism focuses on employing quantum states to represent and manipulate geometric primitives, allowing for adaptive and optimized transformations. This framework addresses the limitations of conventional methods, offering a promising pathway towards more efficient and accurate quantum simulations.

DOI: 10.5281/zenodo.22281349

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