拓扑信息驱动的量子计算算法 - 量子几何模拟

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of topology-driven quantum computing algorithms to simulate quantum geometry, aiming to enhance quantum computation's efficiency. We propose a novel approach that leverages topological information to guide the quantum computation, fostering enhanced performance. The core mechanism centers around the utilization of topological properties to optimize the execution of quantum algorithms. This research offers a fresh perspective on quantum computation, moving beyond traditional algorithmic approaches to incorporate a fundamentally different paradigm. The study focuses on the potential of topological information to improve computational efficiency by manipulating quantum states through topological constraints. The results presented demonstrate the feasibility of this methodology, showcasing enhanced computational capabilities within the simulation of complex quantum geometric phenomena.

DOI: 10.5281/zenodo.22185519

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