no code implementations • 5 Mar 2024 • Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi
In recent years, quantum computing has emerged as a transformative force in the field of combinatorial optimization, offering novel approaches to tackling complex problems that have long challenged classical computational methods.
no code implementations • 27 Feb 2024 • Hong-Ye Hu, Andi Gu, Swarnadeep Majumder, Hang Ren, Yipei Zhang, Derek S. Wang, Yi-Zhuang You, Zlatko Minev, Susanne F. Yelin, Alireza Seif
Prepending a shallow random quantum circuit before measurements maintains this experimental friendliness, but also has favorable sample complexities for observables beyond low-weight Paulis, including high-weight Paulis and global low-rank properties such as fidelity.
no code implementations • 2 Aug 2022 • Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Fred Chong, Song Han, Xuehai Qian, Yiyu Shi
Therefore, we propose NAPA, a native-pulse ansatz generator framework for VQAs.
no code implementations • ICLR 2022 • Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
We consider a context-dependent Reinforcement Learning (RL) setting, which is characterized by: a) an unknown finite number of not directly observable contexts; b) abrupt (discontinuous) context changes occurring during an episode; and c) Markovian context evolution.
no code implementations • NeurIPS 2021 • Zheng Tian, Hang Ren, Yaodong Yang, Yuchen Sun, Ziqi Han, Ian Davies, Jun Wang
On the other hand, overfitting to an opponent (i. e., exploiting only one specific type of opponent) makes the learning player easily exploitable by others.
no code implementations • 15 Jan 2021 • Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar
In this paper, we propose CI-VI an efficient and scalable solver for semi-implicit variational inference (SIVI).
no code implementations • 1 Oct 2020 • Zhichao Sun, Junjie Wu, Gary G. Yen, Hang Ren, Hongyang An, Jianyu Yang
Then, a set of mission performance evaluators is established to quantitatively assess the capability of the system in a comprehensive manner, including UAV navigation, passive SAR imaging and communication.
no code implementations • 30 Jul 2019 • Mohammed Amin Abdullah, Hang Ren, Haitham Bou Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang
Reinforcement learning algorithms, though successful, tend to over-fit to training environments hampering their application to the real-world.
no code implementations • 12 May 2016 • Hang Ren, Weiqun Xu, Yonghong Yan
Automatic optimization of spoken dialog management policies that are robust to environmental noise has long been the goal for both academia and industry.