Unraveling the Mysteries of Quantum Machine Learning: From Quantum Neural Networks to Quantum Support Vector Machines

Introduction

In recent years, the field of machine learning has witnessed significant advancements and breakthroughs, with applications ranging from image recognition to natural language processing. However, the exponential growth of data and the need for faster and more efficient algorithms have pushed the boundaries of classical computation. This has led researchers to explore the potential of quantum machine learning, which combines the power of quantum computing with the principles of machine learning. In this article, we delve into the mysteries of quantum machine learning, focusing on two prominent approaches: quantum neural networks and quantum support vector machines.