Bio
Justyna Zwolak is an adjunct assistant professor in the Institute for Advanced Computer Studies (UMIACS). She is also a Mathematician at NIST and a QuICS Affiliate Fellow. Her research focuses on using machine learning algorithms and artificial intelligence, especially deep convolutional neural networks, in quantum computing platforms. In particular, she is investigating methods to automatically identify stable configurations of electron spins in semiconductor-based quantum computing. She is also developing a complete software suite that enables modeling of quantum dot devices, train recognition networks, and -- through mathematical optimization -- auto-tune experimental setups.
Justyna received an M.Sc. in Mathematics from The Faculty of Mathematics and Informatics, Nicolaus Copernicus University, and a Ph.D. in Physics from the Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, in Toruń, Poland.
Recent News
QuICS Researchers Receive 2024 NIST Bronze Medal Award
January 22, 2025QuICS Researchers Receive PECASE Awards
January 21, 2025
Recent Publications
Data needs and challenges for quantum dot devices automation
, , npj Quantum Information, 10, (2024)MAViS: Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays
, , arXiv, (2024)Colloquium: Advances in automation of quantum dot devices control
, , Reviews of Modern Physics, 95, (2023)
Related Events
- April 7, 2022 10:00 amQuICS Special Seminar
Tuning arrays with rays: Physics-informed tuning of quantum dot charge states
Justyna Zwolak(NIST)