2022-2025 Publications

• 2025
  • L. Monbroussou, J. Landman, L. Wang, A. Grilo, E. Kashefi : “Subspace preserving quantum convolutional neural network architectures”, Quantum Science and Technology, (IOP Science) (2025)
• 2024
  • H. Mhiri, L. Monbroussou, M. Herrero‑Gonzalez, S. Thabet, E. Kashefi, J. Landman : “Constrained and Vanishing Expressivity of Quantum Fourier Models”, (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)