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Sheng-Tao Wang
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2020 – today
- 2024
- [i5]Jonathan Z. Lu, Lucy Jiao, Kristina Wolinski, Milan Kornjaca, Hong-Ye Hu, Sergio Cantu, Fangli Liu, Susanne F. Yelin, Sheng-Tao Wang:
Digital-analog quantum learning on Rydberg atom arrays. CoRR abs/2401.02940 (2024) - [i4]Blake Wilson, Jonathan Wurtz, Vahagn Mkhitaryan, Michael B. Wallace, Sheng-Tao Wang, Sabre Kais, Vladimir M. Shalaev, Alexandra Boltasseva:
Non-native Quantum Generative Optimization with Adversarial Autoencoders. CoRR abs/2407.13830 (2024) - 2023
- [j2]Jin-Guo Liu, Xun Gao, Madelyn Cain, Mikhail D. Lukin, Sheng-Tao Wang:
Computing Solution Space Properties of Combinatorial Optimization Problems Via Generic Tensor Networks. SIAM J. Sci. Comput. 45(3): 1239-1270 (2023) - 2022
- [i3]Minh-Thi Nguyen, Jin-Guo Liu, Jonathan Wurtz, Mikhail D. Lukin, Sheng-Tao Wang, Hannes Pichler:
Quantum optimization with arbitrary connectivity using Rydberg atom arrays. CoRR abs/2209.03965 (2022) - 2021
- [i2]Xun Gao, Eric R. Anschütz, Sheng-Tao Wang, J. Ignacio Cirac, Mikhail D. Lukin:
Enhancing Generative Models via Quantum Correlations. CoRR abs/2101.08354 (2021)
2010 – 2019
- 2019
- [j1]Xu-Ying Liu, Sheng-Tao Wang, Min-Ling Zhang:
Transfer synthetic over-sampling for class-imbalance learning with limited minority class data. Frontiers Comput. Sci. 13(5): 996-1009 (2019) - 2018
- [i1]Hannes Pichler, Sheng-Tao Wang, Leo Zhou, Soonwon Choi, Mikhail D. Lukin:
Computational complexity of the Rydberg blockade in two dimensions. CoRR abs/1809.04954 (2018)
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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