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pro vyhledávání: '"Oxana Shaya"'
Autor:
Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, Oriel Kiss, Oxana Shaya, Sofia Vallecorsa, Michele Grossi, Zoë Holmes
Publikováno v:
npj Quantum Information, Vol 10, Iss 1, Pp 1-18 (2024)
Abstract Quantum generative models provide inherently efficient sampling strategies and thus show promise for achieving an advantage using quantum hardware. In this work, we investigate the barriers to the trainability of quantum generative models po
Externí odkaz:
https://doaj.org/article/2dd04260c8534dd988845c48f77051cf
