Tutorial: Quantum Tensor Networks in Machine Learning and Signal Processing
Jun Qi, Ying-Jer Kao, Samuel Yen-Chi Chen, Mohammadreza Noormandipour
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SPS
IEEE Members: $22.00
Non-members: $30.00
Introduction to Quantum Computing and Tensor Networks
Principles of Quantum Computing
Fundamentals of Tensor Networks
The intersection of Quantum Computing and Tensor Networks
Foundations of Quantum Machine Learning
Parametrized Quantum Circuits
Data Encoding
Quantum Neural Networks and Quantum Kernels
Quantum Neural Networks
Variational Quantum Circuits
Quantum Convolutional Neural Network
Quantum Long Short-Term Memory
Quantum Reinforcement Learning
Hybrid Quantum-Classical Machine Learning Architecture
Training Quantum Machine Learning with Gradient Descent
Tensor Networks for Quantum Machine Learning
Fundamentals of Tensor Networks
Tensor Networks as Quantum Machine Learning Models
Learnability of Quantum Tensor Networks
Hybrid Quantum Tensor Networks and Quantum Neural Networks
Conclusion and Open Questions
Prospects of Quantum Tensor Networks
Conclusion Remarks