Antoine Bussy is an R&D Robotics Engineer in Paris with eight years of experience applying deep mathematical training and advanced C++ expertise to real-world robotics and 3D software challenges. He combines a MSc in Fundamental Mathematics and engineering formation from CentraleSupélec with hands-on work in navigation, motion planning, and walk stabilization for humanoid robots as well as LIDAR segmentation and MPC-based trajectory optimization. Equally comfortable in Python, CMake, Docker and GitLab CI, he architects portable, high-performance systems and has led small R&D teams delivering VR rendering and constraint engines. A contributor to a modern C++ quantum computing library (qpp), he has applied optimized linear-algebra techniques like custom SVD and Schmidt implementations—illustrating his taste for both theoretical rigor and practical performance. His multidisciplinary curiosity spans electronics, deep learning and quantum physics, enabling him to see system-level tradeoffs and propose unconventional solutions.
8 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at CentraleSupélec
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Université Denis Diderot (Paris VII)
Doctor of Philosophy (PhD), Humanoid Robotics, Doctor of Philosophy (PhD), Humanoid Robotics at University of Montpellier
Classe préparatoire aux Grandes Écoles, Mathematics, Physics, Classe préparatoire aux Grandes Écoles, Mathematics, Physics at Lycée Montaigne Bordeaux
Contributions:7 commits, 3 PRs, 21 comments in 3 months
Contributions summary:Antoine contributed to the core functionality of the quantum computing library, focusing on measurement operations and related functionalities. They modified the `measure` function in `instruments.hpp` and implemented changes in the `QEngine` class to handle measurement logic within the quantum circuit engine. Furthermore, the user made adjustments to example code and tests to ensure correct behavior and performance, including replacing a SVD implementation for a more optimized version. They also added a schmidt function.
Contributions:230 commits, 51 pushes, 1 branch in 1 year 5 months
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Antoine Bussy - R&D Robotics Engineer at ALDEBARAN