Convex optimization using quantum oracles.
Joran van ApeldoornAndrás GilyénSander GriblingRonald de WolfPublished in: Quantum (2020)
Keyphrases
- convex optimization
- low rank
- interior point methods
- convex relaxation
- convex optimization problems
- convex programming
- operator splitting
- primal dual
- total variation
- norm minimization
- augmented lagrangian
- convex formulation
- semidefinite program
- alternating direction method of multipliers
- optical flow
- object recognition
- multiscale
- semi definite programming
- basis pursuit
- image segmentation