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Tensor networks in machine learning


Jul 06, 2022
Richik Sengupta, Soumik Adhikary, Ivan Oseledets, Jacob Biamonte

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* 7 pages 

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Quantum machine learning channel discrimination


Jun 20, 2022
Andrey Kardashin, Anna vlasova, Anastasia Pervishko, Dmitry Yudin, Jacob Biamonte

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* 18 pages; 14 figures; RevTeX 

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Experimental quantum adversarial learning with programmable superconducting qubits


Apr 04, 2022
Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang, Feitong Jin, Xuhao Zhu, Jiachen Chen, Zixuan Song, Pengfei Zhang, Hang Dong, Xu Zhang, Jinfeng Deng, Yu Gao, Chuanyu Zhang, Yaozu Wu, Bing Zhang, Qiujiang Guo, Hekang Li, Zhen Wang, Jacob Biamonte, Chao Song, Dong-Ling Deng, H. Wang

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* 26 pages, 17 figures, 8 algorithms 

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On barren plateaus and cost function locality in variational quantum algorithms


Nov 20, 2020
Alexey Uvarov, Jacob Biamonte

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* 26 pages, RevTeX 

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Self-learning eigenstates with a quantum processor


Jun 23, 2020
Andrey Kardashin, Alexey Uvarov, Dmitry Yudin, Jacob Biamonte

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* 9 pages; 5 figures; REVTeX4-1 

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Variational Quantum Eigensolver for Frustrated Quantum Systems


May 01, 2020
Alexey Uvarov, Jacob Biamonte, Dmitry Yudin

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* 8 pages, 6 figures, Supplement, REVTeX4.2 

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Machine Learning Phase Transitions with a Quantum Processor


Jun 24, 2019
Alexey Uvarov, Andrey Kardashin, Jacob Biamonte

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* feedback welcome; 6 pages; 4 figures; RevTex 

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Experimental neural network enhanced quantum tomography


Apr 24, 2019
Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob Biamonte, Sergei Kulik

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* 11 pages, 3+6 figures; All data and source code are available online; RevTeX 

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Quantum Machine Learning


May 10, 2018
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd

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* Nature 549, 195-202 (2017) 
* 24 pages, 2 figures 

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