Quantum-Inspired Artificial Intelligence for Autonomous SAGINs and Non-Terrestrial Networks

The next generation of wireless infrastructure is no longer a homogeneous terrestrial network. The emerging Space-Air-Ground Integrated Network (SAGIN) paradigm fuses Low Earth Orbit (LEO) satellite constellations, high-altitude platforms, UAV swarms, and terrestrial cells into a single programmable fabric, while Non-Terrestrial Networks (NTN) have become a first-class component of the 3GPP standards.

Classical machine learning often struggles in this regime due to scarce data, unreliable gradients, and NP-hard optimization problems. Quantum-inspired methods—including quantum-inspired evolutionary computation, tensor networks, and hybrid quantum-classical neural architectures—offer a complementary toolbox. This workshop serves as the venue to articulate, debate, and advance the integration of quantum-inspired AI into autonomous SAGINs and NTN.