基于自适应拓扑的量子计算模拟
Jincheng Zhang
Abstract
Quantum computing offers the potential to revolutionize various fields by enabling the simulation of complex quantum systems. However, developing efficient and reliable quantum algorithms requires substantial computational resources. This paper introduces a novel framework, Quantum Topology-Driven Simulation (QTDS), which leverages the principles of adaptive topology to accelerate and enhance the simulation of quantum systems. We present a robust simulation method that effectively models quantum dynamics through the manipulation of topological structures, offering improved accuracy and efficiency compared to traditional approaches. The framework's core mechanism centers around dynamically adapting the topological structure during the simulation process, allowing for precise control over the quantum state evolution. We demonstrate the framework's effectiveness through examples of simulating specific quantum systems, including parameterized quantum circuits and disordered quantum states. The results highlight the potential of QTDS to significantly improve the performance of quantum algorithms.