Graph-Based Quantum Computing Topological Optimization
Jincheng Zhang
Abstract
This paper investigates the application of graph-based topology optimization to enhance the efficiency of quantum computation. Traditional approaches often focus on qubit count, while topology optimization provides a framework for structuring quantum circuits to minimize errors and maximize performance. We explore the integration of graph-based topology optimization into the design of quantum algorithms, specifically targeting topological quantum computing. The core claim is that leveraging graph structures and topology optimization can significantly improve the scalability and efficiency of quantum computations, offering a novel approach to addressing key challenges in the field.