Introduction
Welcome to the world of quantum machine learning! In this tutorial, we will walk you through a beginner-level project using a sample dataset and provide step-by-step directions with code. By the end of this tutorial, you will have a solid understanding of how to use quantum computers to perform machine learning tasks and will have built your first quantum model.
But before we dive into the tutorial, let’s take a moment to understand what quantum machine learning is and why it is so exciting.
Quantum machine learning is a field at the intersection of quantum computing and machine learning. It involves using quantum computers to perform machine learning tasks, such as classification, regression, and clustering. Quantum computers are powerful machines that use quantum bits (qubits) instead of classical bits to store and process information. This allows them to perform certain tasks much faster than classical computers, making them particularly well-suited for machine learning tasks that involve large amounts of data.
Now, let’s get started on our tutorial!
