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Quantum Machine Learning for Finance

Sep 09, 2021
Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur Rattew, Yue Sun, Romina Yalovetzky

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A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver

Nov 18, 2019
Arthur G. Rattew, Shaohan Hu, Marco Pistoia, Richard Chen, Steve Wood

* 14 pages, 10 figures; references added; minor additions and edits made; 

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A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space

Oct 21, 2019
Arthur G. Rattew, Shaohan Hu, Marco Pistoia, Richard Chen, Steve Wood

* 13 pages, 9 figures 

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STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

Feb 21, 2019
Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek Abdelzaher

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Multi-scale Neural Networks for Retinal Blood Vessels Segmentation

Apr 11, 2018
Boheng Zhang, Shenglei Huang, Shaohan Hu

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DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing

Jul 02, 2017
Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek Abdelzaher

* Published in WWW2017. Code available on 

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