Jonas Landman

Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning
Subspace preserving quantum convolutional neural network architectures
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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