721: Quantum Machine Learning, with Dr. Amira Abbas

Dr. Amira Abbas, Quantum Computing Researcher at the University of Amsterdam, explores the captivating world of Quantum Machine Learning. Learn about the distinct characteristics of qubits and the vital processes of Quantum ML. For those keen on exploring further, Amira offers noteworthy ML tools suggestions to kickstart your journey in Quantum Computing. This episode is brought to you by Gurobi (https://gurobi.com/sds), the Decision Intelligence Leader, by ODSC (https://odsc.com), the Open Data Science Conference, and by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • Quantum computing vs classical computing [03:42] • What is quantum entanglement [11:45] • What is a qubit [15:07] • The best problems for quantum ML [30:08] • Three distinct steps in quantum ML and its potential [39:06] • Quantum neural networks [49:03] • What Amira's working on at the moment [1:10:20] • How to get started in quantum ML [1:21:06] • Amira's recommended ML tools for quantum computing [1:30:39] Additional materials: www.superdatascience.com/721

Om Podcasten

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.