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Binary classification and kernel methods in noisy QML

Abstract

During the last years, the field of quantum computing has evolved significantly. It has been applied to different domains, seeking the grail of quantum supremacy, the turning point where quantum computers could achieve results that no classical computer could ever obtain.

In this project, we explore the so-called ”Quantum Machine Learning” field, following the steps of Havlicek et al., 2018. We will see how some quantum algorithms can help achieve quantum supremacy in the simplest binary classification Machine Learning task.


In this repository, you will find all the code used for the experiments presented in the project report. To install the conda environment, run the following command in \src

conda env create -f env.yml

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Introduction to noisy QML with a basic binary classification task

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