Quantum Topologies: A Novel Algorithm Optimization Framework

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum topologies, characterized by their unique geometric properties, offer a promising avenue for enhancing quantum computation. This paper explores a novel algorithm optimization framework based on quantum geometry, aiming to automate the adjustment of quantum geometry to improve computational efficiency. We introduce a dynamic adjustment mechanism that iteratively refines the quantum state, leveraging the inherent properties of quantum geometry to optimize quantum circuit parameters. This approach offers a significant advancement in algorithmic optimization, potentially unlocking new capabilities in quantum information processing. The framework is designed to be adaptable and scalable, addressing limitations of current optimization techniques. The core claim of this work is that establishing a framework based on quantum geometry can enable the automatic optimization of quantum circuits, leading to higher precision and enhanced efficiency.

DOI: 10.5281/zenodo.22196357

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