Quantum Machine Learning: Learning models and algorithms
Science / Computer Science
Machine learning, a branch of computer science, is characterized by algorithms that can ‘learn’ from data. With the vast amount of information being stored daily, it has facilitated the development of applications across a wide range of fields, including disease diagnosis and voice recognition, among others. While the potential of machine learning is often highlighted, this project aims to focus on the limitations of the field and the challenges that a computer cannot currently overcome. By employing a novel computing model, quantum computing, we aim to explore the creation of more efficient algorithms. These enhanced algorithms would not only have improved learning capabilities but also the potential to solve problems currently deemed intractable.
