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

David A. QuirogaAnastasios 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