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Quantum State Adaptive Geometry Transformation

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of utilizing quantum state transformations for adaptive geometry modeling. We propose a novel approach where the inherent properties of quantum states allow for dynamic adjustment of quantum states based on geometric transformations. This dynamic adjustment enables the computation of geometric transformations with high precision and offers a pathway towards more robust and adaptable geometric modeling techniques. The core mechanism centers around exploiting quantum state evolution to represent and manipulate geometric parameters. The resulting model demonstrates the capability to perform high-precision geometric transformations and offers significant advantages over traditional methods. This work contributes to the field of quantum computing and geometry, potentially paving the way for advanced geometric modeling and simulation.

DOI
10.5281/zenodo.22190574

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