Adaptive Quantum Simulation of Non-Linear Geometry Models

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of adaptive quantum simulation techniques to modeling non-linear geometry. The core claim is to propose a novel method utilizing quantum simulation's inherent dynamic adjustment capabilities to enhance simulation accuracy and efficiency, specifically for complex geometric structures. The method focuses on iteratively adjusting simulation parameters based on real-time feedback from the quantum simulation, optimizing the model's representation of the underlying geometric principles. This adaptive approach offers a significant advancement over static parameter adjustment methods, leading to improved results and a more efficient simulation workflow. We demonstrate the effectiveness of this technique through the modeling of a non-linear geometry, highlighting its potential for broader applications in fields requiring precise geometric analysis.

DOI: 10.5281/zenodo.22183500

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