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Reinforcement learning for optimization of variational quantum circuit architectures [1]

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TytułReinforcement learning for optimization of variational quantum circuit architectures
Publication TypeConference Paper
Rok publikacji2021
AutorzyOstaszewski M [2], Trenkwalder LM [3], Masarczyk W [4], Scerri E [5], Dunjko V [6]
Conference NameNeurIPS
Date Published2021
URLhttps://arxiv.org/abs/2103.16089 [7]

Projekt: 

Links
[1] https://iitis.pl/pl/content/reinforcement-learning-optimization-variational-quantum-circuit-architectures [2] https://iitis.pl/pl/publications?f%5Bauthor%5D=1563 [3] https://iitis.pl/pl/publications?f%5Bauthor%5D=2694 [4] https://iitis.pl/pl/publications?f%5Bauthor%5D=2112 [5] https://iitis.pl/pl/publications?f%5Bauthor%5D=2695 [6] https://iitis.pl/pl/publications?f%5Bauthor%5D=2696 [7] https://arxiv.org/abs/2103.16089 [8] https://iitis.pl/pl/project/komputery-kwantowe-w-najbli%C5%BCszej-przysz%C5%82o%C5%9Bci-wyzwania-optymalne-implementacje-i-zastosowania