WITS & IBM SEMINAR - The Potential of Quantum Machine Learning

Quantum Perspectives: WITS & IBM SEMINAR SERIES

Topic: The Potential and Limitations of Quantum Machine Learning
📅 Date: 12 March 2025
⏰ Time: 13:00 - 15:00 SAST
📍 Venue:

• In-person: Wits Gatehouse, Science Boardroom GH102
• Online: https://docs.google.com/forms/d/e/1FAIpQLSf3ZXE5aCwuBxKawTIu7j4U3sEK2fN6-ldPUExnJaKMCzLpBg/viewform
  🍽 Refreshments will be provided

Overview
Join us for an engaging session exploring the potential and limitations of Quantum Machine Learning (QML). In recent years, the field of QML has seen incredible interest due to its potential to revolutionize machine learning. However, questions remain about its practical advantages over state-of-the-art classical ML methods, which continue to evolve at a rapid pace.

Our keynote speaker, Dr. Ryan Sweke (AIMS & Stellenbosch University), will provide an in-depth analysis of quantum algorithms for generative modeling and supervised learning. He will critically evaluate whether widely used quantum classification algorithms provide a real computational advantage or if they can be dequantized into classical counterparts. The talk will also touch on the feasibility of outsourcing QML tasks to untrusted quantum service providers, an important consideration for the future of quantum computing.

Panel Discussion
Following the talk, there will be a panel discussion featuring experts in quantum computing:

• Dr. Ryan Sweke (German Research Chair of Mathematics at AIMS & Lecturer Stellenbosch University)
• Dr. Isaac Nape (Researcher and Lecturer in Quantum Optics | WitsQ Emerging Leader in Quantum Computing)
• Dr. Stephanie Muller (Technical Lead - Quantum Applications at IBM Research Africa)

The panel will explore key topics including:
🔹 The role of quantum computing in South Africa and WITS’ research initiatives
🔹 Challenges and opportunities in developing quantum technologies
🔹 The future of quantum in academia and industry.

Who Should Attend?
This seminar is ideal for students, researchers, and professionals interested in quantum computing, machine learning, and computational sciences. Whether you’re new to QML or an experienced researcher, the discussion will provide valuable insights into this evolving field.

What to bring?

• A curiosity for quantum computing and machine learning
• Questions for our expert panel