Advancing of Earth Observation Methodologies by using a Quantum Computer

Abstract

Remotely-sensed images obtained from aircraft and satellite platforms are used for Earth observation tasks. The remotely-sensed images are available in digital format and contain information on the number of spectral bands, radiometric resolution, and spatial resolution. We performed the first exploratory studies for applying quantum computers to remotely-sensed images and problems. Parametrized quantum circuits solve optimization problems and can be utilized as a learning model exploiting different mechanisms and techniques of quantum physics. As a case example, we present therefore the result that parametrized quantum circuits are very competitive in contrast with its classical neural networks.