Using Recurrent Neural Networks to Optimize Dynamical Decoupling for Quantum Memory.
Moritz AugustXiaotong NiPublished in: CoRR (2016)
Keyphrases
- recurrent neural networks
- neural network
- recurrent networks
- feed forward
- complex valued
- echo state networks
- reservoir computing
- input output
- long short term memory
- neural model
- hebbian learning
- hidden layer
- feedforward neural networks
- quantum computing
- memory requirements
- artificial neural networks
- nonlinear dynamic systems
- memory usage
- data structure
- cascade correlation
- memory space
- pose estimation
- expert systems
- chaotic time series
- genetic algorithm
- information retrieval
- data mining