IN31A-1758
An overview of the quantum wavelet transform, focused on earth science applications
Wednesday, 16 December 2015
Poster Hall (Moscone South)
Omar Shehab1, Jacqueline LeMoigne2, Sam Lomonaco3 and Milton Halem3, (1)University of Maryland Baltimore County, Computer Science & Electrical Engineering, Baltimore, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States
Abstract:
Registering the images from the MODIS system and the OCO-2 satellite is currently being done by classical image registration techniques. One such technique is wavelet transformation. Besides image registration, wavelet transformation is also used in other areas of earth science, for example, processinga and compressing signal variation, etc. In this talk, we investigate the applicability of few quantum wavelet transformation algorithms to perform image registration on the MODIS and OCO-2 data. Most of the known quantum wavelet transformation algorithms are data agnostic. We investigate their applicability in transforming Flexible Representation for Quantum Images. Similarly, we also investigate the applicability of the algorithms in signal variation analysis. We also investigate the transformation of the models into pseudo-boolean functions to implement them on commercially available quantum annealing computers, such as the D-Wave computer located at NASA Ames.
