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cs.CV2025
From Simulation to Experiment: Benchmarking Machine-Learning Models for Quantum-Dot State Recognition
Valeria Díaz Moreno, Ryan P Khalili, Daniel Schug +3
Machine-learning models for quantum-dot state recognition are commonly trained using synthetic data, where large labeled datasets can be generated efficiently. However, strong perf…
cs.CV2024★ 6 cited
Automation of Quantum Dot Measurement Analysis via Explainable Machine Learning
Daniel Schug, Tyler J. Kovach, M. A. Wolfe +6
The rapid development of quantum dot (QD) devices for quantum computing has necessitated more efficient and automated methods for device characterization and tuning. This work demo…