Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow.
Zhiding LiangZhepeng WangJunhuan YangLei YangJinjun XiongYiyu ShiWeiwen JiangPublished in: CoRR (2021)
Keyphrases
- neural network
- artificial neural networks
- case study
- train a neural network
- network architecture
- missing data
- image reconstruction from projections
- neural network model
- back propagation
- general regression neural networks
- noisy data
- random noise
- image processing
- noise free
- additive noise
- learning vector quantization
- signal to noise ratio
- noise level
- noise reduction
- color images
- pattern recognition
- prediction model
- hidden layer
- self organizing maps
- noisy environments
- fault diagnosis
- channel capacity
- learning algorithm
- genetic algorithm
- information retrieval