Emerging quantum processors provide an opportunity to explore new approaches for solving traditional problems in the post Moore’s law supercomputing era. However, limited number of qubits makes it infeasible tackle massive real-world datasets directly near future, leading challenges utilizing these practical purposes. Hybrid quantum-classical algorithms that leverage both and classical types de...

It is well known that, on the one hand, combinatorial optimization (CO) provides a powerful tool to formulate and model many optimization problems, on the other hand, a multi-objective (MO) approach is often a realistic and efficient way to treat many real world applications. Nevertheless, until recently, Multi-Objective Combinatorial Optimization (MOCO) did not receive much attention in spite ...