Variational quantum optimization with multibasis encodings

HIGHLIGHTS

  • who: Taylor L. Patti from the DepartmentHarvard University, Cambridge, Massachusetts, USA have published the article: Variational quantum optimization with multibasis encodings, in the Journal: (JOURNAL) of 22/08/2022
  • what: The authors propose multibasis encodings (MBEs), a quantum optimization algorithm that introduces additional constraints (regularization), reducing its susceptibility to local minima in the training landscape. The authors demonstrate the algorithm on the MaxCut problem and empirically find that MBE outperforms VQE by 5-7% when using the same circuit Ansatz. The authors develop TENSORLY-QUANTUM , a software package for simulating efficient quantum circuits with decomposed . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?