报告人：R. C. Pooser
主持人：荆杰泰教授
时间：2022年10月6日（周四）晚上20：00
ZOOM会议 ID：878 1936 1365，密码：123456
参会链接：https://us06web.zoom.us/j/87819361365?pwd=RklJQTdVcHdsaEVPbTdVZ2VXV0loZz09
报告人简介：
Dr. Pooser is an expert in continuous variable quantum information. He is a Distinguished scientist who currently leads the Quantum Computing and Sensing group within the Quantum Information Science Section at ORNL. His research interests include quantum computing, networking, and sensing. Over the past ten years he developed a quantum sensing program at ORNL from the ground up based on continuous-variable quantum networks. He has been working to demonstrate that continuous variable quantum optics, quantum noise reduction in particular, has important uses in the quantum information field. The deterministic nature of these systems is a strong draw and motivator that leads to practical applications, and this research model uses quantum sensors as a showcase for the technologies that will enable quantum computing. Notable achievements include demonstrations of quantum plasmonic sensors with signal to noise ratios that exceed the classical state of the art, the first demonstrations quantum-enhanced read out of atomic force microscope cantilevers, and the first practical applications of nonlinear interferometry. Dr. Pooser has twenty years of quantum information science experience. Prior to his post as a research scientist, he served as a distinguished Wigner Fellow at ORNL. He previously worked as a postdoctoral fellow in the Laser Cooling and Trapping Group at NIST after receiving his PhD in Engineering Physics from the University of Virginia. He received a B.S. in Physics from New York University.
报告内容简介：
In this talk we will outline continuous-variable (CV) quantum information protocols, from quantum computing to quantum sensing. Attention will be given to recent CV quantum sensing demonstrations with bright fields, and specific scenarios in which quantum advantage with sensing is possible will be presented. CV quantum computing and quantum sensing protocols will be contrasted with discrete-variable versions, and even hybrid protocols. We will also discuss possible paths forward to scalable protocols.