Title: Adaptive Quantum Computing Parameter Adjustment via Quantum Topology

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computing offers unprecedented computational power, but achieving optimal performance requires careful parameter tuning. Conventional optimization algorithms often require manual adjustments, limiting scalability and efficiency. This paper proposes a novel algorithm, based on quantum topology, for adaptive parameter adjustment in quantum computing. We introduce a mechanism that leverages the inherent topological properties of quantum systems to automatically adjust parameters, leading to optimized computational results. The algorithm's core is the utilization of quantum topology to dynamically modify the quantum state, facilitating a pathway towards more efficient and robust quantum computation. We detail the algorithm's design, its theoretical foundations, and preliminary experimental results demonstrating its potential for improved parameter optimization. This work presents a paradigm shift toward automated parameter tuning, promising significant advancements in quantum algorithm design and performance.

DOI: 10.5281/zenodo.22270598

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