2022-2024 Publications

• 2024
  • L. Monbroussou, J. Landman, L. Wang, Alex B. Grilo, E. Kashefi : “Subspace Preserving Quantum Convolutional Neural Network Architectures”, (2024)
• 2023
  • L. Monbroussou, J. Landman, A. Bredariol Grilo, R. Kukla, E. Kashefi : “Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning”, (2023)
• 2022
  • J. Landman, S. Thabet, C. Dalyac, H. Mhiri, E. Kashefi : “Classically Approximating Variational Quantum Machine Learning with Random Fourier Features”, (2022)