Quantum Seminar - When Network Science Meets Quantum Information
Abstract: Quantum information science has emerged as a rich interdisciplinary field, one that bridges academic domains such as computer science, physics, electrical engineering, and materials science. In this talk, I will show how network science plays a role in quantum information systems using entanglement distribution as an example. Entanglement is a critical resource in quantum information science, and distributing entanglement across large distances enables various applications such as quantum cryptography, distributed quantum computing, and quantum sensing. We start with a general network and show how to maximize the entanglement distribution rate between a source and a sink by introducing new concepts of e-nodes and e-flows. These concepts enable us to transform the entanglement distribution problem to a linear optimization program. Then we show the impact of finite memories to the entanglement distribution rate and propose memory allocation methods. We next consider a star-shaped network (quantum switch) with multiple source-sink pairs, where entanglement requests randomly arrive at the network. We determine the capacity region for the rates of entanglement requests, and develop entanglement distribution protocols accordingly. In the end, I will talk about potential future directions on building, evaluating, and using quantum networks.
Bio: Wenhan Dai a Computing Innovation Fellow at the University of Massachusetts Amherst and Massachusetts Institute of Technology (MIT). He received the S.M. and Ph.D. degrees from MIT. His research interests include quantum information science, network science, and statistical inference.
This seminar will be streaming via Zoom at the link above but requires a passcode. To obtain the passcode for this event, please see the announcements on the college email lists or contact us.