Quantum Machine Learning 101: An Introduction for Beginners with... - Shivay Lamba & Rishit Dagli

Quantum Machine Learning 101: An Introduction for Beginners with TensorFlow - Shivay Lamba, Independent & Rishit Dagli, Freshman at University of Toronto
Quantum Machine Learning (QML) is a rapidly growing field at the intersection of quantum computing and machine learning. It has the potential to revolutionize the way we solve complex problems and improve our understanding of the world. In this talk, we will provide an introduction to QML for beginners and explore its basics through hands-on exercises with TensorFlow.
The session will start with a brief overview of quantum computing, its history, and current state-of-the-art. Next, we will dive into the fundamental concepts of quantum algorithms, including quantum gates, quantum states, and quantum circuits.
Following the theoretical part, we will use TensorFlow to implement simple QML algorithms. This will give the attendees a hands-on experience of how quantum computing can be used for machine learning purposes and how TensorFlow can be extended to incorporate quantum computing.
The talk will conclude with a discussion of the current applications of QML and its potential for future advancements in a variety of domains.