Understanding Quantum Advantage in Unsupervised Machine Learning

Explore the intersection of quantum computing and unsupervised machine learning in this 34-minute lecture by Apoorva Patel from the International Centre for Theoretical Sciences. Delve into the concept of quantum advantage and its applications in unsupervised learning algorithms. Gain insights into how quantum systems can potentially outperform classical computers in certain machine learning tasks. Learn about the theoretical foundations and practical implications of quantum-enhanced unsupervised learning techniques. Discover the latest research and advancements in this cutting-edge field, bridging the gap between quantum physics and artificial intelligence. Suitable for researchers, students, and professionals interested in the future of quantum computing and its impact on machine learning paradigms.