A quantum algorithm for training wide and deep classical neural networks.
Alexander ZlokapaHartmut NevenSeth LloydPublished in: CoRR (2021)
Keyphrases
- neural network
- learning algorithm
- optimal solution
- k means
- neural network training
- training phase
- computational cost
- times faster
- experimental evaluation
- dynamic programming
- objective function
- high accuracy
- search space
- significant improvement
- computational complexity
- expectation maximization
- segmentation algorithm
- training process
- cost function
- pattern recognition
- worst case
- training algorithm
- clustering method
- feed forward neural networks
- particle swarm optimization
- multi layer
- feature selection
- matching algorithm
- back propagation
- optimization algorithm
- preprocessing
- supervised learning
- np hard
- artificial neural networks