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In this demostrator, we illustrate not only the general procedure of building a QNN via quantum circuit, but also showcase using QNN to predict 2D solution of Poisson equation. To accelerate the convergence, the physics informed NN is introduced. We also show the convergence comprison between QNN and PIQNN.

Build optimization and MPC problems in python

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.