Justyna P. Zwolak

According to our database, Justyna P. Zwolak authored at least 16 papers between 2015 and 2024.

Collaborative distances:

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

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, M. A. Eriksson, Justyna P. Zwolak

CoRR, 2024

2023

Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report.

Justyna P. Zwolak, Jacob M. Taylor, Reed Andrews, Jared Benson, Garnett W. Bryant, Donovan Buterakos, Anasua Chatterjee, Sankar Das Sarma, Mark A. Eriksson, Eliska Greplova, Michael J. Gullans, Fabian Hader, Tyler J. Kovach, Pranav S. Mundada, Mick Ramsey, Torbjørn Rasmussen, Brandon Severin, Anthony Sigillito, Brennan Undseth, Brian J. Weber

CoRR, 2023

QDA²: A principled approach to automatically annotating charge stability diagrams.

Brian J. Weber, Justyna P. Zwolak

CoRR, 2023

Extending Explainable Boosting Machines to Scientific Image Data.

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

CoRR, 2023

Automated extraction of capacitive coupling for quantum dot systems.

Joshua Ziegler, Florian Luthi, Mick Ramsey, Felix Borjans, Guoji Zheng, Justyna P. Zwolak

CoRR, 2023

2022

Dark solitons in Bose-Einstein condensates: a dataset for many-body physics research.

Amilson R. Fritsch, Shangjie Guo, Sophia M. Koh, Ian B. Spielman, Justyna P. Zwolak

Mach. Learn. Sci. Technol., December, 2022

Theoretical Bounds on Data Requirements for the Ray-Based Classification.

Brian J. Weber, Sandesh S. Kalantre, Thomas McJunkin, Jacob M. Taylor, Justyna P. Zwolak

SN Comput. Sci., 2022

Tuning arrays with rays: Physics-informed tuning of quantum dot charge states.

Joshua Ziegler, Florian Luthi, Mick Ramsey, Felix Borjans, Guoji Zheng, Justyna P. Zwolak

CoRR, 2022

Restoring the structure: A modular analysis of ego-driven organizational networks.

Robert P. Dalka, Justyna P. Zwolak

CoRR, 2022

2021

Machine-learning enhanced dark soliton detection in Bose-Einstein condensates.

Shangjie Guo, Amilson R. Fritsch, Craig Greenberg, Ian B. Spielman, Justyna P. Zwolak

Mach. Learn. Sci. Technol., 2021

Colloquium: Advances in automation of quantum dot devices control.

Justyna P. Zwolak, Jacob M. Taylor

CoRR, 2021

Combining Machine Learning with Physics: A Framework for Tracking and Sorting Multiple Dark Solitons.

Shangjie Guo, Sophia M. Koh, Amilson R. Fritsch, Ian B. Spielman, Justyna P. Zwolak

CoRR, 2021

Toward Robust Autotuning of Noisy Quantum Dot Devices.

Joshua Ziegler, Thomas McJunkin, E. S. Joseph, Sandesh S. Kalantre, Benjamin Harpt, D. E. Savage, Mark G. Lagally, M. A. Eriksson, Jacob M. Taylor, Justyna P. Zwolak

CoRR, 2021

Ray-based framework for state identification in quantum dot devices.

Justyna P. Zwolak, Thomas McJunkin, Sandesh S. Kalantre, Samuel F. Neyens, E. R. MacQuarrie, Mark A. Eriksson, Jacob M. Taylor

CoRR, 2021

2020

Ray-based classification framework for high-dimensional data.

Justyna P. Zwolak, Sandesh S. Kalantre, Thomas McJunkin, Brian J. Weber, Jacob M. Taylor

CoRR, 2020

2015

The impact of social integration on student persistence in introductory Modeling Instruction courses.

Justyna P. Zwolak, Eric Brewe

CoRR, 2015