QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits
QASM-Eval provides a new dataset to train and evaluate LLMs on OpenQASM-3 for advanced quantum hardware control.
The dataset addresses the need for LLMs to handle hardware-level quantum programming, including mid-circuit measurements, classical feedback for error correction, and pulse-level waveform access. It aims to improve model performance in generating code for NISQ-era quantum systems.