Publications

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Author Title [ Type(Desc)] Year
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Journal Article
J. P. Zwolak, McJunkin, T., Kalantre, S. S., Dodson, J. P., MacQuarrie, E. R., Savage, D. E., Lagally, M. G., Coppersmith, S. N., Eriksson, M. A., and Taylor, J. M., Auto-tuning of double dot devices in situ with machine learning, Phys. Rev. Applied , vol. 13, no. 034075 , 2020.
J. P. Zwolak and Taylor, J. M., Colloquium: Advances in automation of quantum dot devices control, 2021.
S. S. Kalantre, Zwolak, J. P., Ragole, S., Wu, X., Zimmerman, N. M., Stewart, M. D., and Taylor, J. M., Machine Learning techniques for state recognition and auto-tuning in quantum dots, 2017.
S. Guo, Fritsch, A. R., Greenberg, C., Spielman, I. B., and Zwolak, J. P., Machine-learning enhanced dark soliton detection in Bose-Einstein condensates, Mach. Learn.: Sci. Technol. , vol. 2, p. 035020, 2021.
R. Dou and Zwolak, J. P., Practitioner's guide to social network analysis: Examining physics anxiety in an active-learning setting, 2018.
J. P. Zwolak, Kalantre, S. S., Wu, X., Ragole, S., and Taylor, J. M., QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments, PLOS ONE, vol. 13, no. 10, p. e0205844, 2018.
J. P. Zwolak, Kalantre, S. S., McJunkin, T., Weber, B. J., and Taylor, J. M., Ray-based classification framework for high-dimensional data, Proceedings of the Machine Learning and the Physical Sciences Workshop at NeurIPS 2020, Vancouver, Canada, 2020.
J. P. Zwolak, McJunkin, T., Kalantre, S. S., Neyens, S. F., MacQuarrie, E. R., Eriksson, M. A., and Taylor, J. M., Ray-based framework for state identification in quantum dot devices, PRX Quantum, vol. 2, no. 020335, 2021.
C. A. Hass, Genz, F., Kustusch, M. Bridget, Ouime, P. - P. A., Pomian, K., Sayre, E. C., and Zwolak, J. P., Studying community development: a network analytical approach, 2018.
B. J. Weber, Kalantre, S. S., McJunkin, T., Taylor, J. M., and Zwolak, J. P., Theoretical bounds on data requirements for the ray-based classification, SN Comput. Sci., vol. 3, no. 57, 2022.
J. Ziegler, McJunkin, T., Joseph, E. S., Kalantre, S. S., Harpt, B., Savage, D. E., Lagally, M. G., Eriksson, M. A., Taylor, J. M., and Zwolak, J. P., Toward Robust Autotuning of Noisy Quantum dot Devices, Physical Review Applied, vol. 17, 2022.