Quantum Optimization for Training Quantum Neural Networks.
Yidong LiaoMin-Hsiu HsiehChris FerriePublished in: CoRR (2021)
Keyphrases
- neural network
- quantum computation
- training process
- quantum computing
- training algorithm
- training set
- logic circuits
- quantum mechanics
- back propagation
- genetic algorithm
- quantum inspired
- pattern recognition
- global optimization
- probability ranking principle
- decision trees
- artificial neural networks
- neural network training
- evolutionary algorithm
- hidden markov models
- feed forward neural networks
- optimization algorithm
- radial basis function network
- feedforward neural networks
- rule extraction
- neural network structure
- optimization problems
- online learning
- recurrent neural networks