Arthur Pesah
Postdoctoral Researcher at Freie Universität Berlin
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolArthur Pesah is a quantum computing researcher and machine learning specialist with 14 years of experience, currently completing a PhD in Quantum Computing at UCL while working with Freie Universität Berlin and as a Student Researcher on Google Quantum AI’s error correction team. His work spans variational quantum algorithms, quantum error correction, and applications of ML to quantum architectures—earning contributions to notable open-source educational material such as the QML MOOC Qiskit notebooks where he added Hamiltonian construction, degeneracy analysis, and circuit-result interpretation. He has interned at leading labs and companies (Xanadu, Los Alamos, 1QBit, CERN) and co-authored research on topics like the absence of barren plateaus in quantum convolutional neural networks. Equally comfortable coding and proving, Arthur combines theoretical physics training with practical ML engineering to push fault-tolerant and photonic quantum approaches. He often bridges disciplines—applying federated learning and differential privacy to EEG data and leveraging reinforcement learning to optimize annealing schedules—showing a taste for cross-domain solutions. Based in London, he brings deep technical rigor, pedagogy, and a track record of translating complex quantum ideas into reproducible code and educational resources.
14 years of coding experience
4 years of employment as a software developer
Preparatory Class, Mathematics & Physics, Preparatory Class, Mathematics & Physics at Lycée Henri IVUniversity College LondonMaster of Science - MS, Theoretical Physics, Master of Science - MS, Theoretical Physics at KTH Royal Institute of TechnologyEngineer's degree, Applied Mathematics, Engineer's degree, Applied Mathematics at ENSTABaccalaureate,, Baccalaureate, at Lycée Condorcet
French, English, Spanish, German
Stackoverflow
235reputation
10kreached
0answers
5questions
Github Skills (14)
quantum-computing10
qiskit10
python10
quantum-algorithms9
caffe6
django-filter6
commonjs6
machine-learning6
javascript6
django-rest-framework6
filter6
3d6
django6
ecmascript6
Programming languages (7)
Github contributions (5)
qosf/qml-mooc
Mar 2019 - Jan 2021
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
Role in this project:
ML Engineer
ML EngineerContributions:17 commits, 1 PR, 4 pushes in 1 year 11 months
Contributions summary:Arthur primarily contributed to the Qiskit implementation of the variational quantum circuits, focusing on explaining the code blocks and adding mathematical context. The user's contribution added detailed explanations and implemented modifications to the code that involved building Hamiltonians and evolving them. Additionally, they added explanations on degeneracy and implemented analysis on the circuit results.
machine-learning
artix41/article_categorization
Feb 2017 - Oct 2019
Software that categorize articles (among themes like politics, science, etc.) based on a training on wikipedia articles
Contributions:1 PR, 8 pushes, 1 branch in 2 years 9 months
pythonsciencepoliticstrainingwikipedia
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