Quantum Information Space Geometry Adaptive Optimization

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum Information Space Geometry Adaptive Optimization (QISGOA) presents a novel optimization algorithm leveraging quantum entanglement and quantum computation to enhance system performance and investigate the geometric structure of quantum information. This approach moves beyond traditional static optimization techniques by employing quantum mechanics to dynamically adjust system parameters and explore the inherent correlations within a fundamentally different geometric framework. The core mechanism centers around exploiting quantum entanglement to create a layered representation of the system, allowing for a more holistic and adaptive optimization process. This research introduces a new method for optimizing complex systems, demonstrating improved efficiency and providing insights into the potential of quantum information for advanced computation.

DOI: 10.5281/zenodo.22461076

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