Quantum Algorithms Applied to Satellite Mission Planning for Earth Observation

Author:

Rainjonneau Serge1,Tokarev Igor2,Iudin Sergei2,Rayaprolu Saaketh2,Pinto Karan2,Lemtiuzhnikova Daria2,Koblan Miras2,Barashov Egor2,Kordzanganeh Mo2ORCID,Pflitsch Markus2,Melnikov Alexey2ORCID

Affiliation:

1. Thales Alenia Space, Toulouse, France

2. Terra Quantum AG, St. Gallen, Switzerland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Reference37 articles.

1. Hyperparameter optimization of hybrid quantum neural networks for car classification;sagingalieva,2023

2. Monte-Carlo Tree Search Applied to the Game of Tic-Tac-Toe

3. Image acquisition planning for Earth observation satellites with a quantum annealer;stollenwerk,2023

4. Monte-Carlo Tree Search: A New Framework for Game AI

5. Practical application-specific advantage through hybrid quantum computing;perelshtein,2023

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1. Distributed Intelligent Framework for Remote Area Observation on Multilayer Non-Terrestrial Networks;2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2024-07-08

2. Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes;Machine Learning: Science and Technology;2024-05-22

4. Distributed Learning Framework for Earth Observation on Multilayer Non-Terrestrial Networks;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

5. Efficient Earth Observation Satellites Mission Planning with Quantum Algorithm;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

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