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...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!