Adaptive Topological Quantum State: Adaptive Geometric Topology Transformation

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces an innovative approach to quantum computation utilizing adaptive geometric topology transformations. We propose a novel algorithm based on quantum entanglement that allows for the dynamic reshaping of quantum states, offering a pathway towards enhanced computational capabilities. The core of this system lies in the strategic application of quantum entanglement to induce and control topological transformations within the quantum state space. We demonstrate the effectiveness of this framework through theoretical analysis and preliminary experiments, showcasing its potential to overcome limitations of traditional methods in specific quantum computation scenarios. This research explores the inherent advantages of leveraging entanglement for geometric manipulation, paving the way for more flexible and powerful quantum algorithms.

DOI: 10.5281/zenodo.22496067

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