Justyna P. Zwolak

According to our database, Justyna P. Zwolak authored at least 26 papers between 2015 and 2026.

Collaborative distances:

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

2026

Can machine learning for quantum-gas experiments be explainable?

Ian B. Spielman, Justyna P. Zwolak

CoRR, May, 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

Automated electrostatic characterization of quantum dot devices in single- and bilayer heterostructures.

Merritt Losert, Dario Denora, Barnaby van Straaten, Michael Chan, Stefan D. Oosterhout, Lucas Stehouwer, Giordano Scappucci, Menno Veldhorst, Justyna P. Zwolak

CoRR, January, 2026

2025

Towards autonomous time-calibration of large quantum-dot devices: Detection, real-time feedback, and noise spectroscopy.

Anantha S. Rao, Barnaby van Straaten, Valentin John, Cécile X. Yu, Stefan D. Oosterhout, Lucas Stehouwer, Giordano Scappucci, M. D. Stewart Jr., Menno Veldhorst, Francesco Borsoi, Justyna P. Zwolak

CoRR, December, 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

QDFlow: A Python package for physics simulations of quantum dot devices.

Donovan Buterakos, Sandesh S. Kalantre, Joshua Ziegler, Jacob M. Taylor, Justyna P. Zwolak

CoRR, September, 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

MAViS: Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays.

Anantha S. Rao, Donovan Buterakos, Barnaby van Straaten, Valentin John, Cécile X. Yu, Stefan D. Oosterhout, Lucas Stehouwer, Giordano Scappucci, Menno Veldhorst, Francesco Borsoi, Justyna P. Zwolak

CoRR, 2024

Autonomous Bootstrapping of Quantum Dot Devices.

Anton Zubchenko, Danielle Middlebrooks, Torbjørn Rasmussen, Lara Lausen, Ferdinand Kuemmeth, Anasua Chatterjee, 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

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, Mark 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