基于自适应量子拓扑的量子电路优化

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of self-adaptive quantum topology for optimizing quantum circuits. Traditional quantum circuit optimization methods often rely on classical algorithms, whereas this research introduces a novel approach leveraging the unique properties of quantum topology to enhance circuit efficiency and performance. We propose a method that dynamically adjusts the topology of quantum circuits, resulting in improved performance metrics. The core of this approach involves a sophisticated algorithm that analyzes and modifies the quantum circuit's topology based on a learned model, optimizing for specific performance criteria. The significance of this work lies in its potential to significantly improve the efficiency and scalability of quantum computations through a fundamentally different optimization paradigm. We present a conceptual framework, demonstrating the effectiveness of this approach through simplified examples and highlighting the potential for broader applicability.

DOI: 10.5281/zenodo.22280273

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