721: Quantum Machine Learning, with Dr. Amira Abbas
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Exploring Quantum Machine Learning Potential and Practicality
The chapter delves into various aspects of Quantum Machine Learning, including the Heisenberg uncertainty principle, different quantum neural networks, and the potential breakthroughs in the field. It covers the journey of a guest transitioning from finance to quantum physics and machine learning, offering insights into their experiences and discussing the importance of the right background for postgraduate studies in quantum machine learning. The chapter also addresses audience questions about applications in business and potential future uses in optimization, chemistry, material science, and quantum chemistry, while emphasizing the need for realistic expectations in the field.
Play episode from 01:09:14
Transcript
