Large Language Model-Assisted Superconducting Qubit Experiments

• URL: http://arxiv.org/abs/2603.08801v1
• Date: Mon, 09 Mar 2026 18:03:10 GMT
• Title: Large Language Model-Assisted Superconducting Qubit Experiments
• Abstract summary: Superconducting circuits have demonstrated significant potential in quantum information processing and quantum sensing.<n>Implementing novel control and measurement sequences for superconducting qubits is often a complex and time-consuming process.<n>We introduce a framework that leverages a large language model (LLM) to automate qubit control and measurement.
• Score: 8.728621107309579
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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