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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.

This is the code developed by Dr.-Ing. Dominique Koster and contributed to by Dr. Mariam R. Rizkallah for the workshop "Data Reconciliation: Integration of Electrochemical Data and Optical Sensor Data for Health Diagnostics of Lithium-Ion Batteries" https://www.bremen-research.de/data-train/courses/course-details?event_id=88

Software-seitige Implementierung Expertensystem

Makefiles to use OP-TEE + RAffT on various platforms

Makefiles to use OP-TEE on various platforms.

An extension of Construct2d code to improve compatibility with IWES-CFSD toolchain.

Create a dataset to train a lane detection neural network with CARLA