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Sequential minimum optimization algorithm with small sample size estimators

Published in arXiv (Cornell University) • Mar 2, 2023
NobleIDNI5P20W57R71S05
Authors:
Wojciech Roga
,
Takafumi Ono
,
Masahiro Takeoka

Abstract

Sequential minimum optimization is a machine-learning global search training algorithm. It is applicable when the functional dependence of the cost function on a tunable parameter given the other parameters can be cheaply determined. This assumption is satisfied by quantum circuits built of known ga...

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