AstroCeNT’s cooperating with ESA

Quantum computer harnesses the important ideas of quantum physics to solve computational problems. Small noisy quantum computers are becoming accessible, and researchers expect that they would be the key to finding solutions to computationally hard problems. The success of quantum computers would depend on identifying important problems and their corresponding algorithms to solve those problems. Earth observation and land cover classification is one such area where one can use this new technology to compare the performance of existing classical methods.
Recently, Professor Piotr Gawron and his group member Dr. Manish K. Gupta proposed an idea to European Space Agency (ESA) Φ-lab to apply Quantum Machine Learning to solve the problem of land cover classification. The main question this project seeks to answer is whether the application of Quantum Neural Networks (QNN) for the classification of spectral information can provide an advantage over classical classification techniques.
ESA Φ-lab and AstroCeNT – Particle Astrophysics Science And Technology Centre International Research Agenda, Warsaw have agreed to co-fund the project for two years. It will jointly investigate the application of QNN for Earth observation and land cover classification. Dr. Bertrand Le Saux, a core scientist at ESA Φ-lab, would actively cooperate in this joint investigation.

Piotr Gawron (Professor AstroCeNT)

Piotr Gawron Website
Piotr Gawron is an applied computer scientist and leader of the Scientific Computing and Information Technology group at AstroCeNT.

Manish Kumar Gupta (AstroCeNT)

Manish Kumar Gupta Website
Dr. Manish Kumar Gupta is a Quantum Physicist and a member of Professor Piotr Gawron’s group at AstroCeNT. He works in Quantum Machine Learning, Quantum Information, and Quantum Metrology.

Bertrand Le Saux (Scientist Φ-lab ESA)

Bertrand Le Saux Website
Bertrand Le Saux is a scientist at ESA Φ-lab, working on data-driven techniques for visual understanding, with a background in machine learning and computer vision.
The Φ-lab is a catalyst for Earth Observation innovative and transformative ideas, and a bridge within Earth Observation’s ecosystem of innovative players which connects the actors of Industry, Investors, and Academia to foster entrepreneurial initiatives.
More about the project – here.