Learning quantum processes without input control
Published in arXiv (Cornell University) • Nov 9, 2022
NobleIDNI1P59W25R44S98
Authors:,,
Marco Fanizza
Yihui Quek
Matteo Rosati
Abstract
We introduce a general statistical learning theory for processes that take as input a classical random variable and output a quantum state. Our setting is motivated by the practical situation in which one desires to learn a quantum process governed by classical parameters that are out of one's contr...
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