no code implementations • 4 Apr 2023 • Zhihao Cheng, Kaining Zhang, Li Shen, DaCheng Tao
Despite remarkable successes in solving various complex decision-making tasks, training an imitation learning (IL) algorithm with deep neural networks (DNNs) suffers from the high computation burden.
no code implementations • 6 Jul 2022 • Renjie Li, Xinyi Wang, Guan Huang, Wenli Yang, Kaining Zhang, Xiaotong Gu, Son N. Tran, Saurabh Garg, Jane Alty, Quan Bai
Deep supervision, or known as 'intermediate supervision' or 'auxiliary supervision', is to add supervision at hidden layers of a neural network.
no code implementations • 7 Jun 2022 • Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, DaCheng Tao
Due to the intrinsic probabilistic nature of quantum mechanics, it is reasonable to postulate that quantum generative learning models (QGLMs) may surpass their classical counterparts.
no code implementations • 17 Mar 2022 • Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, DaCheng Tao
Experimental results verify our theoretical findings in the quantum simulation and quantum chemistry.
no code implementations • 25 Sep 2019 • Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, DaCheng Tao
Moreover, we propose an efficient algorithm to achieve the classical read-out of the target state.
no code implementations • 17 Sep 2019 • Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, DaCheng Tao
Moreover, we propose an efficient quantum algorithm to achieve the classical read-out of the target state.