The Adaptive Quantum Computation Algorithm via Dynamic Topology Adjustment

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computation, a fundamentally different approach to computation, offers the potential for unparalleled speed and complexity. Traditional algorithms often rely on fixed, static parameters, limiting their adaptability to diverse inputs. This paper introduces a novel adaptive quantum computation algorithm based on dynamic topology adjustment, designed to overcome these limitations. We propose a framework that dynamically modifies the quantum system's topology during computation, allowing it to adapt to varying input conditions and enhance its robustness. The core mechanism involves employing a sophisticated mapping function to translate the input state into a specific topology, effectively tailoring the quantum system's response. This adaptive approach significantly improves the algorithm's ability to handle complex problems and maintain consistent performance across a range of inputs. The proposed algorithm demonstrates improved results through rigorous analysis and simulations, showcasing its potential for advancing the field of quantum computation.

DOI: 10.5281/zenodo.22276588

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