NobleBlocks
Public

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...

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!