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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Bibliographic Details
Published in:Physical review research Vol. 4; no. 4; p. 043092
Main Authors: 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
Format: Journal Article
Language:English
Published: American Physical Society 01.11.2022
ISSN:2643-1564, 2643-1564
Online Access:Get full text
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