A stochastic quantum program synthesis framework based on Bayesian optimization

Abstract Quantum computers and algorithms can offer exponential performance improvement over some NP-complete programs which cannot be run efficiently through a Von Neumann computing approach. In this paper, we present BayeSyn, which utilizes an enhanced stochastic program synthesis and Bayesian opt...

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Autores principales: Yao Xiao, Shahin Nazarian, Paul Bogdan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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R
Q
Acceso en línea:https://doaj.org/article/6f99556589954be2bb371e2bcdfb4e5a
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