Method for generating randomly perturbed density operators subject to different sets of constraints.
J. A. Montañez-BarreraR. T. HolladayG. P. BerettaMichael R. von SpakovskyPublished in: Quantum Inf. Process. (2022)
Keyphrases
- cost function
- dynamic programming
- support vector machine
- computational cost
- model selection
- theoretical analysis
- pairwise
- significant improvement
- optimization method
- segmentation method
- computationally efficient
- synthetic data
- high accuracy
- input image
- high precision
- constrained optimization
- genetic algorithm
- continuous variables
- generation method
- input data
- feature set
- image registration
- classification accuracy
- experimental evaluation
- computational complexity
- multiscale
- decision trees