基于多智能体协作的量子硬件测试与调试
Jincheng Zhang
Abstract
This paper proposes a novel approach to quantum hardware testing and debugging utilizing a multi-agent collaborative system. The core claim is that leveraging the strengths of multiple autonomous agents dramatically improves the efficiency and accuracy of quantum hardware verification. The proposed mechanism involves constructing a system where diverse agents, each specialized in a particular aspect of testing and debugging, operate in concert. This approach addresses the inherent challenges of quantum hardware testing, which often rely on manual intervention, leading to increased time, cost, and potential for human error. The system's architecture incorporates agents for control pulse optimization, error characterization, state tomography, and automated calibration. Mathematical formulations are presented to describe the agents' decision-making processes and the overall system dynamics. The research demonstrates the potential for automated quantum hardware testing and debugging, ultimately contributing to the development of more reliable and robust quantum computing platforms. The system's performance is evaluated through simulated scenarios, showcasing its ability to significantly reduce testing time and improve the accuracy of hardware characterization.