Automating physical experiments via Large Language Models: an attempt on superconducting quantum processors

Large Language Models has been recorganized a substantial advancement in the AI domain, driving new applications in content creation and code development fields. In this study, we introduce our attempt to employ Large Language Models in establishing an autonomous environment for the calibration processes of superconducting qubits, based on retrival argumented generation. We compare the performance of different large language models on analysing the experimental data and making decisions on the subsequent steps in the experiment.