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This notebook illustrates using the Quantum Approximate Optimization Algorithm (QAOA) to find optimized configurations for feature models with attributed costs on a quantum computer.

Excel macro for handling XML output from B1500A Semiconductor Device Analyzer

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.

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

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

Jupyter Notebooks für die Summer School Step Forward

An alternative problem encoding for QAOA is used to accelerate cost function computation