Optimizing quantum optimization algorithms via faster quantum gradient computation - researchr publication authors

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András Gilyén, Srinivasan Arunachalam, Nathan Wiebe. Optimizing quantum optimization algorithms via faster quantum gradient computation. In Timothy M. Chan, editor, Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2019, San Diego, California, USA, January 6-9, 2019. pages 1425-1444, SIAM, 2019. [doi]

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