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

We propose a quantum version of the deterministic annealing algorithm to verify the input-output relations of a neural network. We apply the algorithm to traffic sign recognition, an important task for self-driving vehicles.

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

matplotlib: plotting with Python

This repository contains the python implementation from basic Machine Learning techniques to more complex ones.

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