Scaling quantum approximate optimization on near-term hardware

HIGHLIGHTS

  • who: Phillip C. Lotshaw from the Laboratory University of have published the paper: Scaling quantum approximate optimization on near-term hardware, in the Journal: Scientific Reports Scientific Reports
  • what: The authors assess the performance of the empirical formula using the RMSE between the average NSWAP and the empirical NSWAP (n, dH ). The authors evaluate the analytic bound for M in_(12), following from earlier analytic expressions in_(8)-(10), along with gate counts from the optimized circuits; these calculations are not based on simulations of noisy hardware.
  • future: These would overcome the basic . . .

     

    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 ?