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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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More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation


Dec 02, 2019
Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David Cox

* Accepted at NeurIPS 2019, codes and models are available at https://github.com/IBM/bLVNet-TAM 

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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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Efficient Fusion of Sparse and Complementary Convolutions


Sep 11, 2018
Chun-Fu Chen, Quanfu Fan, Marco Pistoia, Gwo Giun Lee

* 10 pages, updated with correct numbers 

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