Example Concept: VQE uses a parameterized quantum circuit to prepare quantum states and a classical optimizer to adjust these parameters iteratively. The quantum circuit evaluates the expectation value of the Hamiltonian, and the classical optimizer minimizes this value by updating the parameters. This hybrid approach helps VQE to be resilient against noise, as the optimization process can adapt to noisy measurements by finding parameter settings that yield lower energy states despite the presence of noise.