Let Quantum Neural Networks Choose Their Own Frequencies

Extending Graph Transformers with Quantum Computed Aggregation

QResNet: a variational entanglement skipping algorithm

A General Approach for Dropout in Quantum Neural Networks

Hierarchical quantum circuit representations for neural architecture search

Applying Genetic Algorithms to Optimize the Generalization Ability of Variational Quantum Circuits

Equivariant Quantum Models

Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images

Symmetry-invariant quantum machine learning force fields

Homogenous space expressibility of parametrized quantum circuits

Trainability barriers and opportunities in quantum generative modeling

On the Sample Complexity of Quantum Boltzmann Machine Learning

On the Absence of Barren Plateaus in Quantum Generative Adversarial Networks

Deep quantum neural networks form Gaussian processes

Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data