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