From Simulation to Experiment: Benchmarking Machine-Learning Models for Quantum-Dot State Recognition

Machine-learning models for quantum-dot state recognition are commonly trained using synthetic data, where large labeled datasets can be generated efficiently. However, strong performance on simulated data does not guarantee equally strong performance in experiments. Here, we benchmark five neural n