Deep learning and quantum entanglement: Fundamental connections with implications to network design

Keyphrases

• Network Design 100%
• Deep Learning 100%
• Quantum Entanglement 100%
• Convolutional Networks 100%
• Inductive Bias 100%
• Arithmetic Circuits 66%
• Deep Convolutional Network 66%
• Quantum Physics 33%
• Well-defined 33%
• ReLU Activation 33%
• Graph-theoretic 33%
• Channel Width 33%
• Number of Channels 33%
• Expressiveness 33%
• Deep Network 33%
• Physics Learning 33%
• Min-cut 33%
• Architectural Features 33%
• Structural Connectivity 33%
• Convolutional 33%
• Max Pooling 33%
• Quantum Many-body 33%
• Entanglement Measure 33%
• Underlying Graph 33%
• Direct Control 33%
• Structural Equivalence 33%
• Quantum Tensor Network 33%
• Many-body Wave Function 33%
• Graph Analysis 33%
• Depthwise Separable Convolution 33%
• Model Correlation 33%

Physics

• Quantum Entanglement 100%
• Deep Learning 100%
• Wave Function 33%
• Quantum Physics 33%