Publications
Tailoring Three-Dimensional Topological Codes for Biased Noise [PDF]
Eric Huang & Arthur Pesah, Christopher T. Chubb, Michael Vasmer, Arpit Dua
arXiv:2111.03935, 2022
Noise-Assisted Variational Quantum Thermalization [PDF]
Jonathan Foldager, Arthur Pesah and Lars Kai Hansen
Nature Scientific Report, 2021
arXiv:2111.03935, 2021
Absence of Barren Plateaus in Quantum Convolutional Neural Networks [PDF]
Arthur Pesah, Marco Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger and Patrick J. Coles
Physical Review X (PRX), 2021
Quantum Machine Learning in High Energy Physics [PDF]
Wen Guan, Gabriel Perdue, Arthur Pesah, Maria Schuld, Koji Terashi, Sofia Vallecorsa and Jean-Roch Vlimant
Machine Learning: Science and Technology, 2020
Recurrent Machines for Likelihood-Free Inference [PDF] [Code]
Arthur Pesah, Antoine Wehenkel and Gilles Louppe
2nd Workshop on Meta-Learning at NeurIPS 2018
