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Expressibility-induced Concentration of Quantum Neural Tangent Kernels
In particular, for global loss functions, we rigorously prove that high expressibility of both the global and local quantum encodings can lead to exponential concentration of quantum tangent kernel values to zero.
Quantum Neural Network Classifiers: A Tutorial
Machine learning has achieved dramatic success over the past decade, with applications ranging from face recognition to natural language processing.
Quantum Continual Learning Overcoming Catastrophic Forgetting
Catastrophic forgetting describes the fact that machine learning models will likely forget the knowledge of previously learned tasks after the learning process of a new one.
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