Scalable 2-local architecture for quantum annealing of Ising models with arbitrary dimensions
Ana Palacios, Artur García-Sáez, Bruno Juliá-Díaz, Marta P. Estarellas · Physical Review Applied · 2025
Quantum annealing is a promising approach to solving a diversity of classical optimization problems across different fields, but real-world problems are often represented by densely connected graphs, which cannot be directly implemented in hardware in a scalable way. This work overcomes this limitation by presenting a very sparse architecture that results in effective dense connectivities. This result will have an impact on the engineering challenge of building large-scale quantum annealing devices that can solve practical optimization problems in several industry sectors, such as logistics, energy, or finance.