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This repository contains two labs which put into practice Quantum Machine Learning techniques.
The code is conducted via IBM Quantum Lab with pre-installed Qiskit.
Classical machine learning models such as K Nearest Neighbours and Linear Regression will be coded up to train the well known MNIST and Diabetes datasets. Then quantum machine learning models will be coded such as the Quantum Support Vector Machine and Quantum Variational Classifier to train the Iris and Wine datasets.
In the Lab 2, Quantum Neural Network Technqiues are implemented to train using ad hoc and breast cancer datasets.