Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper).
Zhiding LiangZhepeng WangJunhuan YangLei YangYiyu ShiWeiwen JiangPublished in: ICCAD (2021)
Keyphrases
- invited paper
- neural network
- noise level
- signal to noise ratio
- test bed
- quantum computing
- train a neural network
- neural network model
- random noise
- quantum inspired
- genetic algorithm
- missing data
- artificial neural networks
- radial basis function
- case study
- data mining
- neural network is trained
- quantum mechanics
- median filter
- noisy data
- recurrent neural networks
- database
- fault diagnosis
- back propagation
- input data
- fuzzy logic
- real world
- databases