Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
Crossref DOI link: https://doi.org/10.1140/epjqt/s40507-022-00131-4
Published Online: 2022-05-06
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Moussa, Charles
Wang, Hao
Bäck, Thomas
Dunjko, Vedran
Text and Data Mining valid from 2022-05-06
Version of Record valid from 2022-05-06
Article History
Received: 1 March 2022
Accepted: 25 April 2022
First Online: 6 May 2022
Declarations
:
: The authors declare that they have no competing interests.