Quantum-Inspired Tensor Neural Networks for Partial Differential Equations.
Raj G. PatelChia-Wei HsingSerkan SahinSaeed S. JahromiSamuel PalmerShivam SharmaChristophe MichelVincent PorteMustafa AbidStephane AubertPierre CastellaniChi-Guhn LeeSamuel MugelRoman OrusPublished in: CoRR (2022)
Keyphrases
- partial differential equations
- quantum inspired
- neural network
- high order
- binary gravitational search algorithm
- anisotropic diffusion
- numerical solution
- image processing
- scalar valued
- level set
- image denoising
- genetic algorithm
- quantum computing
- immune clonal
- diffusion tensor
- image enhancement
- pattern recognition
- higher order
- mutation operator
- numerical algorithms
- multiscale
- diffusion equation
- back propagation
- levenberg marquardt
- structure tensor
- numerical methods
- artificial neural networks
- nonlinear diffusion
- matrix valued
- least squares
- training algorithm
- wireless networks