We compare quantum Monte Carlo with classic Monte Carlo methods in pricing vanilla options. The quantum Monte Carlo method was performed on a quantum computer using amplitude estimation, an algorithm that provides excellent convergence rates. We find that quantum simulations can achieve stability in computing price and sensitivity. Furthermore, the quantum Monte Carlo method is superior to classical ones in convergence speed and stability.