Quantum Circuit Adaptive Topology Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum circuit adaptive topology optimization is a novel approach to parameter optimization for quantum algorithms. This paper introduces a method that leverages the inherent properties of quantum circuits, specifically their adaptive topology, to dynamically adjust circuit parameters during optimization. The core mechanism involves a feedback loop that continuously refines the circuit's structure based on the algorithm's current state and objective function, resulting in improved parameter efficiency and algorithm accuracy. This approach offers a promising path toward enhancing quantum algorithm performance, particularly in complex optimization problems. We present a theoretical framework and preliminary experimental results demonstrating the effectiveness of this technique.

DOI: 10.5281/zenodo.22295331

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