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2020 – today
- 2026
[i6]Fangjun Hu, Christian Kokail, Milan Kornjaca, Pedro L. S. Lopes, Weiyuan Gong, Sheng-Tao Wang, Xun Gao, Stefan Ostermann:
Learning and Generating Mixed States Prepared by Shallow Channel Circuits. CoRR abs/2604.01197 (2026)- 2025
- [j4]Daniel Beaulieu, Milan Kornjaca
, Zoran Krunic, Michael Stivaktakis, Jing Chen, Thomas Ehmer, Sheng-Tao Wang, Anh Pham:
Robust Quantum Reservoir Learning for Molecular Property Prediction. J. Chem. Inf. Model. 65(16): 8475-8485 (2025) - [j3]Hengyun Zhou, Chen Zhao, Madelyn Cain, Dolev Bluvstein, Nishad Maskara, Casey Duckering, Hong-Ye Hu, Sheng-Tao Wang, Aleksander Kubica, Mikhail D. Lukin:
Low-overhead transversal fault tolerance for universal quantum computation. Nat. 646(8084): 303-308 (2025) - [c2]Hengyun Zhou, Casey Duckering, Chen Zhao, Dolev Bluvstein, Madelyn Cain, Aleksander Kubica, Sheng-Tao Wang, Mikhail D. Lukin:
Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom Arrays. ISCA 2025: 1432-1448 - [d1]Hengyun Zhou, Chen Zhao, Madelyn Cain, Dolev Bluvstein, Nishad Maskara, Casey Duckering, Hong-Ye Hu, Sheng-Tao Wang, Aleksander M. Kubica, Mikhail D. Lukin:
Data for "Low-Overhead Transversal Fault Tolerance for Universal Quantum Computation". Zenodo, 2025
- 2024
- [c1]Atefeh Sohrabizadeh, Wan-Hsuan Lin, Daniel Bochen Tan, Madelyn Cain, Sheng-Tao Wang, Mikhail D. Lukin, Jason Cong:
GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set. ICCAD 2024: 62:1-62:6 - [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. Anschuetz, 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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