no code implementations • 11 Oct 2023 • Yizhi Wang, Shichuan Xue, Yaxuan Wang, Jiangfang Ding, Weixu Shi, Dongyang Wang, Yong liu, Yingwen Liu, Xiang Fu, Guangyao Huang, Anqi Huang, Mingtang Deng, Junjie Wu
Our work opens up a vista of utilizing QNG in photonics to implement practical near-term quantum applications.
no code implementations • 9 Oct 2023 • Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu
In this work, we focus on imitator learning based on only one expert demonstration.
no code implementations • 1 Oct 2023 • Yizhi Wang, Shichuan Xue, Yaxuan Wang, Yong liu, Jiangfang Ding, Weixu Shi, Dongyang Wang, Yingwen Liu, Xiang Fu, Guangyao Huang, Anqi Huang, Mingtang Deng, Junjie Wu
Quantum Generative Adversarial Networks (QGANs), an intersection of quantum computing and machine learning, have attracted widespread attention due to their potential advantages over classical analogs.
no code implementations • 7 Aug 2023 • Qin Liao, Jieyu Liu, Anqi Huang, Lei Huang, Zhuoying Fei, Xiquan Fu
We propose a high-rate scheme for discretely-modulated continuous-variable quantum key distribution (DM CVQKD) using quantum machine learning technologies, which divides the whole CVQKD system into three parts, i. e., the initialization part that is used for training and estimating quantum classifier, the prediction part that is used for generating highly correlated raw keys, and the data-postprocessing part that generates the final secret key string shared by Alice and Bob.
no code implementations • 17 Feb 2021 • Poompong Chaiwongkhot, Jiaqiang Zhong, Anqi Huang, Hao Qin, Sheng-cai Shi, Vadim Makarov
We study potential security vulnerabilities of a single-photon detector based on superconducting transition-edge sensor.
Quantum Physics
no code implementations • 15 Oct 2020 • Yang Deng, Ziyao Xu, Li Zhou, Huanping Liu, Anqi Huang
Starting from the essence of the music, the article constructs a music-rule-identifying algorithm through extracting modes, which will identify the stability of the mode of machine-generated music, to judge whether it is artificial intelligent.
no code implementations • 6 Feb 2020 • Yingyu Li, Anqi Huang, Yong Xiao, Xiaohu Ge, Sumei Sun, Han-Chieh Chao
Motivated by the observation that coordination synchronization may result in high coordination delay that can be intolerable when the network is large in scale, we propose a novel asynchronized ADMM algorithm.
Signal Processing Networking and Internet Architecture
1 code implementation • 16 Dec 2019 • Yong Liu, Dongyang Wang, Shichuan Xue, Anqi Huang, Xiang Fu, Xiaogang Qiang, Ping Xu, He-Liang Huang, Mingtang Deng, Chu Guo, Xuejun Yang, Junjie Wu
We demonstrate our method by performing numerical simulations for the tomography of the ground state of a one-dimensional quantum spin chain, using a variational quantum circuit simulator.