Assessing the feasibility of quantum learning algorithms for noisy linear problems
Crossref DOI link: https://doi.org/10.1038/s41598-024-78386-3
Published Online: 2024-11-25
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kim, Minkyu
Kim, Panjin
Text and Data Mining valid from 2024-11-25
Version of Record valid from 2024-11-25
Article History
Received: 4 June 2024
Accepted: 30 October 2024
First Online: 25 November 2024
Declarations
:
: The authors declare no competing interests.