Methods for accelerating geospatial data processing using quantum computers

Quantum computing is a transformative technology with the potential to enhance operations in space industry through acceleration of optimization and machine learning processes. Machine processes enable automated image classification geospatial data. algorithms provide novel approaches for solving these problems future advantage over current classical techniques. Universal Computers, developed by Rigetti Computing other providers, fully general quantum be executed, theoretically proven speed-up certain cases. This paper describes an approach satellite using universal enhancement convolutional neural networks: quanvolutional network. Using refined method, we found performance improvement previous efforts this domain identified refinements that could lead eventual advantage. We benchmark networks SAT-4 imagery dataset order demonstrate utility techniques benefits can offer.