Core Claim: A Dynamic Adaptive Quantum Topological Model Optimization Algorithm

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum topologies offer unique opportunities for quantum computation and information processing. However, designing and optimizing quantum circuits often requires careful control over the underlying topology. This paper presents a novel optimization algorithm based on dynamic self-adaptive quantum topology models. We introduce a mechanism that automatically adjusts quantum topology parameters based on input data, enabling precise control and optimization of these models. This approach overcomes limitations of traditional static optimization methods, particularly for complex and highly parameterized quantum systems. We demonstrate the effectiveness of this algorithm through several illustrative examples, showcasing its ability to achieve significant improvements in quantum circuit performance.

DOI: 10.5281/zenodo.22153835

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