Example Concept: Hybrid quantum-classical algorithms utilize a quantum processor to evaluate the cost function of an optimization problem, while a classical processor adjusts the parameters of the quantum circuit. This iterative process continues until convergence is achieved, allowing the quantum component to explore complex solution spaces that are difficult for classical algorithms alone, while the classical component provides stability and precision in parameter tuning.