Daniel Schug

According to our database, Daniel Schug authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FAlCon: A unified framework for algorithmic control of quantum dot devices.

Tyler J. Kovach, Daniel Schug, Zach D. Merino, Mark Friesen, Mark A. Eriksson, Justyna P. Zwolak

CoRR, March, 2026

2025

Benchmarking machine learning models for multi-class state recognition in double quantum dot data.

Valeria Díaz Moreno, Ryan P. Khalili, Daniel Schug, Patrick J. Walsh, Justyna P. Zwolak

CoRR, November, 2025

Automation of quantum dot measurement analysis via explainable machine learning.

Daniel Schug, Tyler J. Kovach, M. A. Wolfe, Jared Benson, Sanghyeok Park, J. P. Dodson, J. Corrigan, Mark A. Eriksson, Justyna P. Zwolak

Mach. Learn. Sci. Technol., 2025

2024

BATIS: Bootstrapping, Autonomous Testing, and Initialization System for Quantum Dot Devices.

Tyler J. Kovach, Daniel Schug, M. A. Wolfe, E. R. MacQuarrie, Patrick J. Walsh, Jared Benson, Mark Friesen, Mark A. Eriksson, Justyna P. Zwolak

CoRR, 2024

Explainable Classification Techniques for Quantum Dot Device Measurements.

Daniel Schug, Tyler J. Kovach, M. A. Wolfe, Jared Benson, Sanghyeok Park, J. P. Dodson, J. Corrigan, Mark A. Eriksson, Justyna P. Zwolak

CoRR, 2024

2023

Extending Explainable Boosting Machines to Scientific Image Data.

Daniel Schug, Sai S. Yerramreddy, Rich Caruana, Craig Greenberg, Justyna P. Zwolak

CoRR, 2023