Generative quantum learning of joint probability distribution functions

Modeling joint probability distributions is an important task in a wide variety of fields. One popular technique for this employs a family of multivariate distributions with uniform marginals called copulas. While the theory of modeling joint distributions via copulas is well understood, it gets pra...

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Vydané v:	Physical review research Ročník 4; číslo 4; s. 043092
Hlavní autori:	Zhu, Elton Yechao, Johri, Sonika, Bacon, Dave, Esencan, Mert, Kim, Jungsang, Muir, Mark, Murgai, Nikhil, Nguyen, Jason, Pisenti, Neal, Schouela, Adam, Sosnova, Ksenia, Wright, Ken
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	American Physical Society 01.11.2022
ISSN:	2643-1564, 2643-1564
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