Daniel Schug

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20242026

most citedAutomation of Quantum Dot Measurement Analysis via Explainable Machine Learning

6 citations · 7 across the 5 of their papers we have counts for

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2 papers · 1 filter

cond-mat.mes-hall2024★ 1 cited

Bootstrapping, autonomous testing, and initialization system for Si/Si $_{x}$ Ge $_{1 - x}$ multi-quantum-dot devices

Tyler J. Kovach, Daniel Schug, M. A. Wolfe +7

Semiconductor quantum dot (QD) devices have become central to advancements in spin-based quantum computing. However, the increasing complexity of modern QD devices makes calibratio…

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…

Bootstrapping, autonomous testing, and initialization system for Si/Six​Ge1−x​ multi-quantum-dot devices

Automation of Quantum Dot Measurement Analysis via Explainable Machine Learning

Bootstrapping, autonomous testing, and initialization system for Si/Si $_{x}$ Ge $_{1 - x}$ multi-quantum-dot devices