| Stability of frustration-free Hamiltonians S Michalakis, JP Zwolak Communications in Mathematical Physics 322, 277-302, 2013 | 194 | 2013 |
| Beyond performance metrics: Examining a decrease in students’ physics self-efficacy through a social networks lens R Dou, E Brewe, JP Zwolak, G Potvin, EA Williams, LH Kramer Physical Review Physics Education Research 12 (2), 020124, 2016 | 96 | 2016 |
| Machine learning techniques for state recognition and auto-tuning in quantum dots SS Kalantre, JP Zwolak, S Ragole, X Wu, NM Zimmerman, MD Stewart Jr, ... npj Quantum Information 5 (1), 6, 2019 | 86 | 2019 |
| Students' network integration as a predictor of persistence in introductory physics courses JP Zwolak, R Dou, EA Williams, E Brewe Physical Review Physics Education Research 13 (010113), 2017 | 86 | 2017 |
| Autotuning of double-dot devices in situ with machine learning JP Zwolak, T McJunkin, SS Kalantre, JP Dodson, ER MacQuarrie, ... Physical Review Applied 13 (3), 034075, 2020 | 71 | 2020 |
| Linking engagement and performance: The social network analysis perspective EA Williams, JP Zwolak, R Dou, E Brewe Physical Review Physics Education Research 15 (2), 020150, 2019 | 63* | 2019 |
| Understanding the development of interest and self-efficacy in active-learning undergraduate physics courses R Dou, E Brewe, G Potvin, JP Zwolak, Z Hazari International Journal of Science Education 40 (13), 1587-1605, 2018 | 56 | 2018 |
| Constructing optimal entanglement witnesses D Chruściński, J Pytel, G Sarbicki Physical Review A—Atomic, Molecular, and Optical Physics 80 (6), 062314, 2009 | 52 | 2009 |
| Constructing optimal entanglement witnesses. II. Witnessing entanglement in systems D Chruściński, J Pytel Physical Review A—Atomic, Molecular, and Optical Physics 82 (5), 052310, 2010 | 44 | 2010 |
| Educational commitment and social networking: The power of informal networks JP Zwolak, M Zwolak, E Brewe Physical Review Physics Education Research 14 (1), 010131, 2018 | 42 | 2018 |
| Practitioner’s guide to social network analysis: Examining physics anxiety in an active-learning setting R Dou, JP Zwolak Physical Review Physics Education Research 15 (2), 020105, 2019 | 34 | 2019 |
| QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments JP Zwolak, SS Kalantre, X Wu, S Ragole, JM Taylor PLoS One 13 (10), e0205844, 2018 | 33 | 2018 |
| Optimal entanglement witnesses from generalized reduction and Robertson maps D Chruściński, J Pytel Journal of Physics A: Mathematical and Theoretical 44 (16), 165304, 2011 | 33 | 2011 |
| Toward Robust Autotuning of Noisy Quantum Dot Devices J Ziegler, T McJunkin, ES Joseph, SS Kalantre, B Harpt, DE Savage, ... Physical Review Applied 17 (2), 024069, 2022 | 31 | 2022 |
| Colloquium: Advances in automation of quantum dot devices control JP Zwolak, JM Taylor Reviews of modern physics 95 (1), 011006, 2023 | 27 | 2023 |
| Machine-learning enhanced dark soliton detection in Bose-Einstein condensates S Guo, AR Fritsch, C Greenberg, IB Spielman, JP Zwolak Machine Learning: Science and Technology 2 (3), 035020, 2021 | 19 | 2021 |
| Ray-based framework for state identification in quantum dot devices JP Zwolak, T McJunkin, SS Kalantre, SF Neyens, ER MacQuarrie, ... PRX Quantum 2 (2), 020335, 2021 | 17 | 2021 |
| Understanding Centrality: Investigating Student Outcomes within a Classroom Social Network EA Williams, E Brewe, JP Zwolak, R Dou Proceedings of the Physics Education Research Conference 2015, pp. 375-378, 2015 | 16 | 2015 |
| Assessing student reasoning in upper-division electricity and magnetism at Oregon State University JP Zwolak, CA Manogue Physical Review Special Topics - Physics Education Research 11, 020125, 2015 | 16 | 2015 |
| Network analysis approach to Likert-style surveys RP Dalka, D Sachmpazidi, C Henderson, JP Zwolak Physical Review Physics Education Research 18 (2), 020113, 2022 | 13 | 2022 |
Jacob TaylorJoint Center for Quantum Information and Computer Science; Joint Quantum Institute; NISTVerified email at umd.edu
