Search Results for author: Xiao-Ming Zhang

Found 10 papers, 1 papers with code

On Circuit Depth Scaling For Quantum Approximate Optimization

no code implementations3 May 2022 V. Akshay, H. Philathong, E. Campos, D. Rabinovich, I. Zacharov, Xiao-Ming Zhang, J. Biamonte

Focusing on random instances of MAX-2-SAT, we test our predictive model against simulated data with up to 15 qubits.

Combinatorial Optimization

The Tsinghua University-Ma Huateng Telescopes for Survey: Overview and Performance of the System

no code implementations21 Dec 2020 Ji-Cheng Zhang, Xiao-Feng Wang, Jun Mo, Gao-Bo Xi, Jie Lin, Xiao-Jun Jiang, Xiao-Ming Zhang, Wen-Xiong Li, Sheng-Yu Yan, Zhi-Hao Chen, Lei Hu, Xue Li, Wei-Li Lin, Han Lin, Cheng Miao, Li-Ming Rui, Han-Na Sai, Dan-Feng Xiang, Xing-Han Zhang

The TMTS system can have a FoV of about 9 deg2 when monitoring the sky with two bands (i. e., SDSS g and r filters) at the same time, and a maximum FoV of ~18 deg2 when four telescopes monitor different sky areas in monochromatic filter mode.

Instrumentation and Methods for Astrophysics

Hierarchy Response Learning for Neural Conversation Generation

no code implementations IJCNLP 2019 Bo Zhang, Xiao-Ming Zhang

Specifically, a hierarchical response generation (HRG) framework is proposed to capture the conversation intention in a natural and coherent way.

Response Generation

Low-Depth Optical Neural Networks

no code implementations3 Apr 2019 Xiao-Ming Zhang, Man-Hong Yung

Optical neural network (ONN) is emerging as an attractive proposal for machine-learning applications, enabling high-speed computation with low-energy consumption.

When does reinforcement learning stand out in quantum control? A comparative study on state preparation

2 code implementations6 Feb 2019 Xiao-Ming Zhang, Zezhu Wei, Raza Asad, Xu-Chen Yang, Xin Wang

In this work, we perform a comparative study on the efficacy of three reinforcement learning algorithms: tabular Q-learning, deep Q-learning, and policy gradient, as well as two non-machine-learning methods: stochastic gradient descent and Krotov algorithms, in the problem of preparing a desired quantum state.

Quantum Physics

r-Instance Learning for Missing People Tweets Identification

no code implementations28 May 2018 Yang Yang, Haoyan Liu, Xia Hu, Jiawei Zhang, Xiao-Ming Zhang, Zhoujun Li, Philip S. Yu

The number of missing people (i. e., people who get lost) greatly increases in recent years.

Learning Social Image Embedding with Deep Multimodal Attention Networks

no code implementations18 Oct 2017 Feiran Huang, Xiao-Ming Zhang, Zhoujun Li, Tao Mei, Yueying He, Zhonghua Zhao

Extensive experiments are conducted to investigate the effectiveness of our approach in the applications of multi-label classification and cross-modal search.

Classification General Classification +2

Cannot find the paper you are looking for? You can Submit a new open access paper.