Sheng-Tao Wang

According to our database, Sheng-Tao Wang authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom Arrays.

Hengyun Zhou, Casey Duckering, Chen Zhao, Dolev Bluvstein, Madelyn Cain, Aleksander Kubica, Sheng-Tao Wang, Mikhail D. Lukin

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024

Non-native Quantum Generative Optimization with Adversarial Autoencoders.

Blake Wilson, Jonathan Wurtz, Vahagn Mkhitaryan, Michael B. Wallace, Sheng-Tao Wang, Sabre Kais, Vladimir M. Shalaev, Alexandra Boltasseva

CoRR, 2024

Digital-analog quantum learning on Rydberg atom arrays.

Jonathan Z. Lu, Lucy Jiao, Kristina Wolinski, Milan Kornjaca, Hong-Ye Hu, Sergio Cantu, Fangli Liu, Susanne F. Yelin, Sheng-Tao Wang

CoRR, 2024

GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set.

Atefeh Sohrabizadeh, Wan-Hsuan Lin, Daniel Bochen Tan, Madelyn Cain, Sheng-Tao Wang, Mikhail D. Lukin, Jason Cong

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

Computing Solution Space Properties of Combinatorial Optimization Problems Via Generic Tensor Networks.

Jin-Guo Liu, Xun Gao, Madelyn Cain, Mikhail D. Lukin, Sheng-Tao Wang

SIAM J. Sci. Comput., June, 2023

2022

Quantum optimization with arbitrary connectivity using Rydberg atom arrays.

Minh-Thi Nguyen, Jin-Guo Liu, Jonathan Wurtz, Mikhail D. Lukin, Sheng-Tao Wang, Hannes Pichler

CoRR, 2022

2021

Enhancing Generative Models via Quantum Correlations.

Xun Gao, Eric R. Anschütz, Sheng-Tao Wang, J. Ignacio Cirac, Mikhail D. Lukin

CoRR, 2021

2019

Transfer synthetic over-sampling for class-imbalance learning with limited minority class data.

Xu-Ying Liu, Sheng-Tao Wang, Min-Ling Zhang

Frontiers Comput. Sci., 2019

2018

Computational complexity of the Rydberg blockade in two dimensions.

Hannes Pichler, Sheng-Tao Wang, Leo Zhou, Soonwon Choi, Mikhail D. Lukin

CoRR, 2018