Carlson Auditorium, 76-1125
October 16, 2019 at 3:30pm

Compressive sensing (CS) is an exciting measurement technique that effectively compresses data while it is being measured, allowing high-dimensional signals to be recovered from very few measurements. The CS approach of figuring out how to "just measure the important information" has upended traditional views on sampling and sparked enormous multidisciplinary interest over the past decade.  Remarkably, the best measurements an experimenter can use are often random.  In this talk, I will introduce the basic principles of CS and describe how it can be applied to some current problems in quantum imaging. These range from the very applied, such as how to take a picture using only one photon per pixel, to the very fundamental, such as how to characterize photonic quantum entanglement.

About the Speaker: Greg Howland is a new assistant professor in the School of Physics and Astronomy at RIT. Previously, he worked as a Postdoctoral Researcher in Prof. Stefan Preble’s Integrated Photonics Group at RIT and was a research physicist at the Air Force Research Laboratory in Rome, NY in the Quantum Information Science group. He received his PhD in Physics from the University of Rochester in 2014. His research interests are in quantum information and quantum optical technologies in bulk optics and photonic integrated circuits