Solving a Higgs optimization problem with quantum annealing for machine learning.
Alex MottJoshua JobJean-Roch VlimantDaniel A. LidarMaria SpiropuluPublished in: Nat. (2017)
Keyphrases
- machine learning
- combinatorial optimization
- discrete optimization
- nonlinear programming
- simulated annealing
- natural language processing
- optimization approaches
- quadratic programming
- computer vision
- learning algorithm
- optimization model
- optimization problems
- text classification
- optimization algorithm
- optimization method
- lagrange multipliers
- machine learning approaches
- constrained optimization
- knowledge acquisition
- optimization process
- optimization methods
- global optimization
- differential evolution
- data sets
- support vector machine
- pattern recognition
- decision trees
- quantum computing
- global optimization problems
- machine learning methods
- quantum computation
- machine learning and data mining
- machine learning algorithms
- np hard
- feature selection
- information retrieval
- data mining