Title: Adaptive Topological Structure for Quantum Information Processing Efficiency Enhancement
Jincheng Zhang
Abstract
Quantum information processing is a critical area of research, and the inherent challenges of quantum error correction, particularly the high frequency of quantum error correction, pose a significant bottleneck in the advancement of quantum computing. This paper investigates the use of adaptive topological structure to optimize quantum information processing, aiming to reduce quantum error correction frequency and thereby enhance computational efficiency. The core mechanism involves tailoring the quantum system's topological structure to minimize the impact of decoherence and improve the fidelity of quantum operations. We present a novel algorithm and theoretical analysis demonstrating the potential for significant efficiency gains through this approach. The study explores the impact of various topological parameters and their influence on error rate.