# Theorem demonstrates that CNNs can always be trained on quantum computers

**URL:** <https://forum.devtalk.com/t/theorem-demonstrates-that-cnns-can-always-be-trained-on-quantum-computers/26422>\
**Category:** Quantum Computing\
**Tags:** quantum, in-the-news\
**Created:** [23 October 2021 13:45 UTC](https://forum.devtalk.com/t/theorem-demonstrates-that-cnns-can-always-be-trained-on-quantum-computers/26422 "2021-10-23T13:45:14Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![CommunityNews](https://forum.devtalk.com/user_avatar/forum.devtalk.com/communitynews/32/1113_2.png) [@CommunityNews](https://forum.devtalk.com/u/CommunityNews)\
**Post date:** [23 October 2021 13:45 UTC](https://forum.devtalk.com/t/theorem-demonstrates-that-cnns-can-always-be-trained-on-quantum-computers/26422/1 "2021-10-23T13:45:14Z")

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> **LOS ALAMOS, N.M., Oct. 15, 2021** —Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as “barren plateaus” has limited the application of these neural networks for large data sets, new research overcomes that Achilles heel with a rigorous proof that guarantees scalability.

Read in full here:

[https://discover.lanl.gov/news/releases/1015-quantum-ai/](https://discover.lanl.gov/news/releases/1015-quantum-ai/)

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