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Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression


Jun 08, 2022
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh

* Preprint version. 16 pages 

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Recent Advances for Quantum Neural Networks in Generative Learning


Jun 07, 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

* The first two authors contributed equally to this work 

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Gaussian initializations help deep variational quantum circuits escape from the barren plateau


Mar 17, 2022
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao

* Comments welcome! 

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Capacity of First Arrival Position Channel in Diffusion-Based Molecular Communication


Jan 27, 2022
Yen-Chi Lee, Min-Hsiu Hsieh


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First Arrival Position in Molecular Communication Via Generator of Diffusion Semigroup


Jan 14, 2022
Yen-Chi Lee, Jen-Ming Wu, Min-Hsiu Hsieh


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Quantum Optimization for Training Quantum Neural Networks


Mar 31, 2021
Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie

* 35 pages, 30 figures, 1 animation 

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Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers


Nov 12, 2020
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao

* 8+9 pages. See also a concurrent paper that appeared yesterday [arXiv:2010.08561] 

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Experimental Quantum Generative Adversarial Networks for Image Generation


Oct 21, 2020
He-Liang Huang, Yuxuan Du, Ming Gong, Youwei Zhao, Yulin Wu, Chaoyue Wang, Shaowei Li, Futian Liang, Jin Lin, Yu Xu, Rui Yang, Tongliang Liu, Min-Hsiu Hsieh, Hui Deng, Hao Rong, Cheng-Zhi Peng, Chao-Yang Lu, Yu-Ao Chen, Dacheng Tao, Xiaobo Zhu, Jian-Wei Pan

* Our first version was submitted to the journal in January 2020. Comments are welcome 

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