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Author Title Type [ Year(Asc)]
Filters: Author is Xingyao Wu  [Clear All Filters]
2018
K. Tong Goh, Kaniewski, J., Wolfe, E., Vértesi, T., Wu, X., Cai, Y., Liang, Y. - C., and Scarani, V., “Geometry of the quantum set of correlations”, Physical Review A, vol. 97, no. 2, p. 022104, 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.
X. Wu and Chen, J., “Multiparty quantum data hiding with enhanced security and remote deletion”, p. 5, 2018.
2017
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.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., “Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning”, 2017.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., “Exponential improvements for quantum-accessible reinforcement learning”, 2017.