Quantum Machine Learning with Seth Lloyd

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Machine-learning tasks frequently involve problems of manipulating and classifying large numbers of vectors in high-dimensional spaces. Quantum computers are good at manipulating high-dimensional vectors in large tensor product spaces. This talk shows how quantum computers can provide an exponential speed-up over their classical counterparts for a variety of problems in machine learning and big data analysis.

Seth Lloyd is Nam P. Suh professor of mechanical engineering and professor of physics at MIT. Dr. Lloyd's research focuses on problems on information and complexity in the universe.

He was the first person to develop a realizable model for quantum computation and is working with a variety of groups to construct and operate quantum computers and quantum communication systems. Dr. Lloyd has worked to establish fundamental physical limits to precision measurement and to develop algorithms for quantum computers for pattern recognition and machine learning. Dr. Lloyd's work on complex systems currently focuses transitions between stability and instability in complex dynamical systems. He is author of over two hundred scientific papers, and of `Programming the Universe,' (Knopf, 2004).