Issue Date | Title | Author(s) |
2022-10-30 | Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry | Kao, P-Y; Yang, Y-C; Chiang, W-Y; Hsiao, J-Y; Cao, Y; Aliper, A; Ren, F; Aspuru-Guzik, A; Zhavoronkov, A; Hsieh, M-H; Lin, Y-C |
2022-10-07 | Quantum Simulation of Preferred Tautomeric State Prediction | Shee, Y; Yeh, T-L; Hsiao, J-Y; Yang, A; Lin, Y-C; Hsieh, M-H |
2021-12-30 | Toward Trainability of Deep Quantum Neural Networks | Zhang, K; Hsieh, M-H; Liu, L; Tao, D |
2022-12-29 | Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification | Du, Y; Yang, Y; Tao, D; Hsieh, M-H |
2022-06-07 | Recent Advances for Quantum Neural Networks in Generative Learning | Tian, J; Sun, X; Du, Y; Zhao, S; Liu, Q; Zhang, K; Yi, W; Huang, W; Wang, C; Wu, X; Hsieh, M-H; Liu, T; Yang, W; Tao, D |
2022-10-11 | Quantum state tomography via non-convex Riemannian gradient descent | Hsu, M-C; Kuo, E-J; Yu, W-H; Cai, J-F; Hsieh, M-H |
2020-12-01 | Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances | Fan, J; Li, J; Wang, J; Wei, Z; Hsieh, M-H |
2021-07-12 | Randomized benchmarking for non-Markovian noise | Figueroa-Romero, P; Modi, K; Stace, TM; Hsieh, M-H |
2020-03-21 | Quantum noise protects quantum classifiers against adversaries | Du, Y; Hsieh, M-H; Liu, T; Tao, D; Liu, N |
2021-04-01 | Quantum Optimization for Training Quantum Neural Networks | Liao, Y; Hsieh, M-H; Ferrie, C |