Explore projects

Build optimization and MPC problems in python

End-to-end demonstrator for quantum optimization of charging schedules.

Simulation env based on Brax / MuJoCo for robotic assembly tasks.

Solving a combinatorial optimization problem with a hybrid quantum-classical algorithm.

The demonstration illustrates the generation of a quantum feature map for a simple regression problem. Reinforcement learning techniques are used, visualizing the decision process of the AI agent through a simple visualization of the quantum circuit creation. We show how to load, train and test the model. The results show a feature map design tailored to the problem.