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


Other writings

Tailoring 3D topological codes and decoders to biased noise [PDF]

Arthur Pesah (Supervisor: Dan Browne)

Master’s thesis (UCL), 2021

Introduction to adiabatic quantum computing [PDF]

Arthur Pesah

Report for a quantum computing course, 2021

Quantum algorithms for solving differential equations [PDF]

Arthur Pesah

MRes Case Study Report, 2021

Classification of topological phases of matter [PDF]

Arthur Pesah

MRes Case Study Report, 2021

Decoders for topological quantum error correction [PDF]

Arthur Pesah

MRes Case Study Report, 2020

Learning quantum state properties with quantum and classical neural networks [PDF] [Code]

Arthur Pesah (Supervisors: Peter Wittek and Nathan Killoran)

Master’s Thesis (KTH), 2019

Analytical model of impedance in elliptical beam pipes [PDF]

Arthur Pesah (Supervisors: Benoît Salvant, Nicolo Biancacci and Mauro Migliorati)

CERN Summer Programme Report, 2017

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