Quantum Optimization Algorithms in Operations Research: Methods, Applications, and Implications.
Florian KlugPublished in: CoRR (2023)
Keyphrases
- optimization methods
- significant improvement
- optimization problems
- computationally intensive
- synthetic and real datasets
- benchmark datasets
- heuristic methods
- optimization approaches
- computationally expensive
- methods outperform
- methods require
- machine learning algorithms
- computer vision algorithms
- computational cost
- synthetic and real data sets
- algorithms require
- monte carlo methods
- parameter settings
- theoretical guarantees
- high computational complexity
- computationally demanding
- methods can be applied
- efficient optimization
- quasi newton
- complexity analysis
- data sets
- search methods
- machine learning methods
- theoretical analysis
- preprocessing
- computational complexity
- data mining
- combinatorial optimization
- optimization method
- computationally efficient
- computer science
- decision trees
- feature selection