Jonas Landman

Constrained and Vanishing Expressivity of Quantum Fourier Models
Subspace Preserving Quantum Convolutional Neural Network Architectures
Subspace Preserving Quantum Convolutional Neural Network Architectures
Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features

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