Quantum Machine Learning as an AI Accelerator
Instructor: James Meng
Course Overview
Quantum computing is moving from research labs toward practical business applications, with potential to address complex problems in weather forecasting, cybersecurity, supply chains, drug discovery, healthcare, finance, and optimization. As quantum hardware and software advance toward quantum advantage, organizations are increasing investments to drive innovation and prepare for future opportunities. This course provides a practical introduction to how quantum computing can work alongside classical Artificial Intelligence (AI) and Machine Learning (ML) for large-scale and near-real-time applications. Participants will explore quantum computing fundamentals, supervised and unsupervised quantum machine learning algorithms, industry use cases, hybrid quantum-classical solutions, and emerging trends in quantum AI acceleration.
Instructor
James Meng
Senior Fellow, SuperComputer Center, University of California, San Diego
Dr. James Meng is a senior scientist at the University of California, San Diego Supercomputer Center, where he focuses on quantum computing, big data analytics, and the design and integration of complex systems. His expertise includes system dynamics of large complex systems, interoperable architecture, data systems integration, and value delivery. He has extensive experience bridging advanced technology, engineering, and management to address complex organizational and technical challenges.
Prior to joining UC San Diego, Dr. Meng held several senior executive positions with the U.S. Department of the Navy, including Deputy Assistant Secretary of the Navy and STEM Executive in the Office of the Assistant Secretary of the Navy for Research, Development and Acquisition. He also served as Executive Director of Warfare System Engineering and Chief Systems Engineer at Naval Sea Systems Command and held leadership positions within the Naval Undersea Systems.
Dr. Meng holds a Ph.D. in aeronautical engineering and an M.S. in physics from the University of California, Berkeley, a B.S. in mechanical engineering from National Taiwan University, and an M.S. in management science from the MIT Sloan School of Management. He has authored numerous technical and research publications and holds patents in engineering and advanced technology fields. He currently teaches courses through the UC San Diego Division of Extended Studies, including Lean Thinking for Big Data Analytics, Intuitive Learning of Quantum Computing, and Intuitive Learning of Quantum Machine Learning.
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Secure your place in Course 202 — Quantum Machine Learning as an AI Accelerator.