Dr. Pooser is an expert in continuous variable quantum optics. He leads the quantum sensing team within the quantum information science group. His research interests include quantum computing, neuromorphic computing, and sensing. He currently leads the Quantum Computing Testbed project at ORNL, a large multi institution collaboration. He has also developed a quantum sensing program from the ground up based on quantum networks over a number of years at ORNL. He has been working to demonstrate that continuous variable quantum optics, quantum noise reduction in particular, has important uses in the quantum information field. One of his goals is to show that the quantum control and error correction required in computing applications are directly applicable to quantum sensing efforts. He is also interested in highlighting the practicality of these systems, demonstrating their ease of use and broad applicability. His research model uses quantum sensors as a showcase for the technologies that will enable quantum computing. Dr. Pooser has over 16 years of quantum information science experience, having led the quantum sensing program at ORNL over the past eight. Dr. Pooser publishes in high impact journals, including in Science, Nature, and Physical Review Letters. He previously served as a distinguished Wigner Fellow. He also 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, graduating Cum Laude on an accelerated schedule. Dr. Pooser is active in the community, having served as a spokesperson for United Way and for the Boys and Girls Clubs of the TN Valley on many occasions in addition to volunteer work.

Purdue Quantum Science and Engineering Institute, Electrical and Computer Engineering, Department of Physics and Astronomy

Researchers should cite this work as follows:

• Raphael C. Pooser (2020), "Quantum-Enhanced Imaging for Advanced Characterization," https://nanohub.org/resources/32222.

  BibTex | EndNote

1. atomic force microscopy (AFM)
2. characterization
3. joes picks
4. microscopy
5. quantum imaging
6. quantum noise reduction
7. quantum sensing
8. sensors/sensing