Experience

  1. Lead Software Developer

    Pasqal
    • Development and maintenance of several librairies for quantum computing simulations and and machine learning applications.
    • Open-source librairies: Qadence, PyQTorch, Horqrux, Qadence-protocols.

  2. Research Scientist

    Stealth Startup
    • Designing software and research code for unconventional physics-based hardware for AI workloads.
    • Application of generative models, benchmarking algorithms, and software engineering for future open-source Jax libraries.

  3. Quantum Computing Fellow

    Los Alamos National Laboratory
    • Selected fellow for the Quantum Computing Summer school.
    • Implementation of QML algorithms on simulators and hardware for quantum data.

  4. Quantum Computing Scientist

    Modis - TotalEnergies
    • Supporting TotalEnergies in their quantum computing project.
    • Implementation of quantum algorithms on a high-performance cluster.
    • Supervising interns in their research projects.

  5. Quantum Computing Researcher

    Oak Ridge National Laboratory - TotalEnergies
    • Investigating quantum computing and applications for the energy sector in Machine Learning, Chemistry, Optimization, and Differential equations.
    • Implementation of classical and quantum algorithms: Genetic Algorithms, Restricted Boltzmann Machines, Grover Search, TotalQBoost…
    • Production of reports for documentation on quantum algorithms potential for industry use cases.

Education

  1. PhD in Quantum Machine Learning

    Leiden University
    • Combining Quantum Computing, Optimization and Machine Learning for industrial problems.
    • PhD sponsored by TotalEnergies, under the supervision of Vedran Dunjko and Thomas Bäck.
    • Development of hybrid quantum-classical algorithms for research and education.
    • Participation in teaching activities as guest presenter and developing tutorials. Supervision of students.
    Read Thesis

  2. Master’s Degree in Mathematical Engineering

    National Institute of Applied Sciences (School of Engineering), Rouen
    • Applied Mathematics (Statistics, Optimization, Machine Learning, Partial Differential Equations).
    • Computer Science (Programming, Virtual reality, Web Technologies).}

  3. Master's degree in Actuaries and Mathematical Engineering in Insurance and Finance

    University of Rouen
    • Insurance, Finance, Economy, Management, Banking and Finance Law.
    • Mathematics (Pricing, NonParametric Tests, Statistics of extreme values, Survival Analysis, Risk Management).
Skills & Hobbies
Technical Skills
Python
Quantum
Data Science
SQL
Hobbies
Hiking
Traveling
Coding
Awards
Second place in 2022 QHack coding challenges. First place in two open coding challenges and second prize in two others.
Xanadu ∙ February 2022
In this Qhack 2022 Open Hackathon, we proposed to re-implement concepts related to asynchronous Quantum Computing, also framed as Ensemble Quantum Computing, for Variational Quantum Algorithms (http://arxiv.org/abs/2111.14940). Rather than relying on just one physical device (or backend), we run algorithms on several machines/backends, which can speed up runtime of algorithms. VQE and QAOA have been targeted, but this can be applied to other algorithms and applications such as Quantum Machine Learning, Finance, etc.
Second place at the BIG Quantum Hackathon by QuantX, Paris 2021
QuantX ∙ September 2021
Implemented a Wasserstein quantum GAN with Gradient Penalty and applied to images provided by BMW for car design.
Languages
100%
French
100%
English
50%
Spanish
25%
Dutch
10%
Japanese