Adaptive Geometry Transformation Parameter Adjustment Quantum Simulation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces an adaptive quantum simulation parameter adjustment method for geometric transformations, leveraging quantum entanglement and superposition to dynamically adjust transformation parameters for improved simulation accuracy and efficiency. Existing quantum simulation techniques often rely on fixed parameter settings, limiting the potential for optimization. This work proposes a novel approach that utilizes quantum entanglement to create a dynamically evolving parameter space, allowing for a more nuanced and responsive simulation. The core mechanism centers around exploiting the inherent properties of quantum states to achieve a more accurate and efficient representation of geometric transformations. We present a theoretical framework and initial experimental validation demonstrating the efficacy of this method, highlighting its potential to significantly advance the field of quantum simulation.

DOI: 10.5281/zenodo.22183564

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