Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat.

David A. Quiroga Anastasios Kyrillidis

Published in: ICRC (2023)

Keyphrases

convex optimization
objective function
operator splitting

primal dual
image segmentation
face recognition

linear program
low rank
convex relaxation

interior point methods
convex optimization problems