Example Concept: Hybrid quantum-classical algorithms, such as the Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA), utilize a quantum circuit to prepare a parameterized quantum state. The quantum processor evaluates the cost function, while a classical optimizer adjusts the parameters to find the minimum energy state. This synergy allows for efficient exploration of the solution space, leveraging quantum parallelism and classical optimization techniques.