This talk is occurring in an hour. ---------- Forwarded message --------- From: Janice L Balzer <balzer(a)mit.edu> Date: Fri, Sep 21, 2018 at 9:12 AM Subject: [OQE] Special OQE Seminar: Dr. Masoud Mohseni, TODAY, September 21, 2018 at 11:00 AM in the Haus Room, 36-428 To: oqe <oqe(a)mit.edu> Special OQE Seminar *TODAY*, September 21, 2018 11:00 AM Haus Room, 36-428 Masoud Mohseni Google Quantum AI Laboratory Title: Quantum-assisted optimization and machine learning on NISQ devices Abstract: We present an overview of our progress on quantum optimization and machine learning at Quantum AI Lab at Google. In particular, we present an end-to-end quantum-assisted optimization engine on Google Cloud Platform. Our physics-inspired approaches use an interplay of thermal and quantum fluctuations to sample from unaccessible low-energy states of spin-glass systems that encode certain hard combinatorial optimization and probabilistic inference problems. We introduce structured droplet instances and show that our hybrid quantum-classical heuristic algorithms can improve over classical techniques, such parallel tempering, that rely on local updates. We also introduce universal discriminative quantum neural networks for classification and purification of quantum data. We train near-term small-scale quantum circuits to classify data represented by non-orthogonal quantum probability distributions using stochastic optimization techniques. This is achieved by iterative interactions of a classical processor with a quantum device to discover the parameters of an unknown non-unitary quantum map which can be implemented via a shallow quantum circuit. Similar small-scale quantum circuit learning could be used for verifying the quantum outputs of other shallow circuits, constructing structured receivers in quantum imaging/sensing, and designing quantum repeaters in quantum communication networks. Bio: Masoud Mohseni is a Senior Research Scientist at Google Quantum Artificial Intelligence Laboratory, where he develops novel quantum optimization and machine learning algorithms. A former research scientist and a principal investigator at the Research Laboratory of Electronics at MIT, Dr. Mohseni has been a scientific consultant at leading industry initiatives on unconventional computing. He obtained his Ph.D in physics in 2007 from University of Toronto. He then moved to Harvard University to complete a postdoctoral program in quantum simulation. Dr. Mohseni’s current research addresses some of the fundamental problems at the interface of artificial intelligence, quantum computing, and physics of complex systems. He has also made seminal contributions to the theory of coherent energy transfer in biological systems. He is an author and the leading editor of the first scientific book on Quantum Effects in Biology that has been published by Cambridge University Press. For a full listing of this semester’s colloquia or to subscribe to the mailing list, please visit www.rle.mit.edu/oqesem _______________________________________________ OQE mailing list OQE(a)mit.edu http://mailman.mit.edu/mailman/listinfo/oqe _______________________________________________ qip mailing list qip(a)mit.edu http://mailman.mit.edu/mailman/listinfo/qip