Dynamic Topology-Based Quantum Computation Topology Optimization

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computation topology optimization based on dynamic topology. Traditional topology optimization methods often require manual design, which is challenging for complex quantum computing environments. Our method leverages dynamic topology to automatically optimize the quantum computation's topology, leading to improved computational efficiency and stability. We propose a framework that dynamically adjusts the quantum circuit's topology during the optimization process, resulting in a more robust and efficient solution. This paper presents a detailed analysis of the proposed algorithm and its implementation, demonstrating its effectiveness in optimizing quantum circuits for specific scenarios. The core of the method lies in the utilization of self-similarity properties within the topological landscape, allowing for a streamlined and adaptive optimization process. We discuss the challenges and benefits of this approach, highlighting its potential to advance quantum computation.

DOI: 10.5281/zenodo.22265092

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