Adaptive Topology Quantum Geometry Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel quantum geometry optimization algorithm based on adaptive topology, designed to enhance the precision of quantum geometry modeling. Traditional methods often necessitate manual parameter tuning, limiting the algorithm's potential. Our approach dynamically adjusts geometry based on input data, offering a significant reduction in computational complexity and potentially unlocking more accurate representations of complex quantum systems. The core mechanism leverages quantum geometry optimization to iteratively refine the geometry, leading to improved modeling fidelity. We discuss the algorithm's design, implementation details, and preliminary results, demonstrating its potential for advancing quantum geometry research.

DOI: 10.5281/zenodo.22187592

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