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Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry


Jun 09, 2022
Faris M. Sbahi, Antonio J. Martinez, Sahil Patel, Dmitri Saberi, Jae Hyeon Yoo, Geoffrey Roeder, Guillaume Verdon

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* 24 + 49 pages, 5 + 4 figures 

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TensorFlow Quantum: A Software Framework for Quantum Machine Learning


Mar 06, 2020
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni

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* 39 pages, 24 figures 

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