用大模型自动操控超导量子比特，省去繁琐人工
Large Language Model-Assisted Superconducting Qubit Experiments
- 大模型按需调用工具，无需预设流程
- 自主完成谐振器表征和量子非破坏测量实验
- 适合无硬件经验的研究者快速上手
超导电路在量子信息处理和量子传感中展现出巨大潜力。为超导量子比特设计新的控制与测量序列通常复杂且耗时，需要深厚的物理知识及对特定软硬件的熟悉。本文提出一个利用大语言模型（LLM）自动化量子比特控制与测量的框架。该框架通过知识库动态生成并调用无模式工具，执行实验。我们展示了两个应用：自主谐振器表征，以及直接复现文献中的超导量子比特量子非破坏性（QND）测量。该框架可快速部署标准控制-测量协议，并支持新型实验流程的实现，为复杂量子硬件控制提供更灵活、友好的新范式。
原文摘要 · Abstract (English)
Superconducting circuits have demonstrated significant potential in quantum information processing and quantum sensing. Implementing novel control and measurement sequences for superconducting qubits is often a complex and time-consuming process, requiring extensive expertise in both the underlying physics and the specific hardware and software. In this work, we introduce a framework that leverages a large language model (LLM) to automate qubit control and measurement. Specifically, our framework conducts experiments by generating and invoking schema-less tools on demand via a knowledge base on instrumental usage and experimental procedures. We showcase this framework with two experiments: an autonomous resonator characterization and a direct reproduction of a quantum non-demolition (QND) characterization of a superconducting qubit from literature. This framework enables rapid deployment of standard control-and-measurement protocols and facilitates implementation of novel experimental procedures, offering a more flexible and user-friendly paradigm for controlling complex quantum hardware.
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