Quantum Bipartite Systems: Theory and Applications
Quantum information theory, a multi-disciplinary area of quantum physics, computer science, and mathematics, aims at understanding the theoretical underpinnings of quantum sciences that enables quantum computing and communications. Crucial to successful exploitation of the quantum revolutionary advances is the understanding of the non-classical phenomena of quantum entanglement. In this talk, we study the entanglement of quantum bipartite model and its applications to quantum information processing.
In the first part of the talk, we discuss our recent results on the statistical behavior of quantum entanglement of the bipartite model over different random environments as measured by various entanglement entropies. In the second part, we discuss ongoing and future works in applying our information-theoretic results to the study of performance metrics in quantum information processing. Finally, we outline the integration of research into new courses on quantum computing and information as well as other teaching interests within Pitt SCI and DINS.
Lu Wei is currently an Assistant Professor in the Department of Electrical and Computer Engineering, University of Michigan - Dearborn, Michigan. His recent research interests lie in quantum information processing with applications to quantum computing and communications.
Lu Wei received a Bachelor degree from Xi’an Jiaotong University, China, a Master degree (with distinction) from Helsinki University of Technology, Finland, and a Ph.D. degree (with distinction) from Aalto University, Finland, in 2006, 2008, and 2013, respectively. He subsequently held postdoctoral positions at the Department of Mathematics and Statistics, University of Helsinki, Finland, from 2013 to 2015 and at the School of Engineering and Applied Sciences, Harvard University, from 2015 to 2016.
Zoom Session: http://pitt.zoom.us/j/98969661183
Please contact the organizer for zoom password at email@example.com