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Quantum Information Theory, Quantum Computing and Communication, Machine Learning, Numerical Modelisation

- Sept. 2018 - present
**Research Assistant**at*Qauntum Optics Theory (Nicolas Sangouard), University of Basel (Basel, Switzerland)*Work as a research assistant in the Quantum Optics Group of Nicolas Sangouard. Main topics I explore are

*Self-Testing*and*Machine Learning method for Quantum Information*.Publication: Work in Progress

- Apr. 2018 - Sept. 2018
**Master Thesis**at*Quantum Information Theory group (Antonio Acin), ICFO (Barcelona, Spain)*Master thesis project on

*Machine Learning for Nonlocality Detection in Multipartite System*under the supervision of Joseph Bowles, Gabriel Senno and Antonio Acin.

This project implied both machine learning and quantum information knowledge. We trained a Domain Adversarial Neural Network to detect nonlocal correlations, from single and second order body correlators, indepently of the number of parties. We achieved a detection accuracy of more than 60% while avoiding false-positive.Publication : thesis available here

- Jun. 2017 - Jul. 2017
**Master Project**at*Quantum Correlations (Nicolas Brunner), University of Geneva, (Geneva, Switzerland)*Summer internship on Semi-Device Independent Quantum Random Number Generator, under the supervision of Nicolas Brunner. We explore a way to improve a previously designed QRNG based on Unambiguous State Discriminations by enhancing the number of states in time bin encoding. This leads to a more robust entropy againt noise and lost, however robustness gain decreases with th number of states.

Publication: internship report available here

- 2016 - 2018
**MSc in Subatomic Physics**, pass with merit; Claude Bernard University, Lyon, France

- 2013 - 2016
**BSc in Physics**, pass with merit; Claude Bernard University, Lyon, France

Autumn 2015:**Erasmus**, University of Oulu, Oulu, Finland

- Physics
- Quantum Information, Quantum Mechanics, Quantum Optics
- Particle Physics, Nuclear Physics, Standard Model

- Computer Science
- Machine Learning
- Convex Optimisation, Linear Programming, Semi-Definite Programming
- Numerical Modelisation

- Programming
- Python : optimization (SDP, LP, …), machine learning (Pytorch), numerical resolution
- Mathematica
- Bash : scripting, software developpement
- C++
- Latex, Markdown, HTML/CSS, …

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