Energy-Efficient Task Offloading in Satellite-Terrestrial Networks Leveraging Hybrid Quantum Computing

This paper proposes an energy-efficient task offloading solution for satellite-terrestrial networks by jointly optimizing edge cloud selection and bandwidth allocation, leveraging a hybrid quantum deep reinforcement learning approach.