Estimating the volume of a convex body is a central problem in convex geometry and can be viewed as a continuous version of counting. We present a quantum algorithm that estimates the volume of an (n)-dimensional convex body within multiplicative error (\epsilon) using (\tilde{O}(n^{3}+n^{2.5}/\epsilon)) queries to a membership oracle and (\tilde{O}(n^{5}+n^{4.5}/\epsilon)) additional arithmetic operations. For comparison, the best known classical algorithm uses (\tilde{O}(n^{4}+n^{3}/\epsilon^{2})) queries and (\tilde{O}(n^{6}+n^{5}/\epsilon^{2})) additional arithmetic operations. To the best of our knowledge, this is the first quantum speedup for volume estimation. Our algorithm is based on a refined framework for speeding up simulated annealing algorithms that might be of independent interest. This framework applies in the setting of “Chebyshev cooling”, where the solution is expressed as a telescoping product of ratios, each having bounded variance. We develop several novel techniques when implementing our framework, including a theory of continuous-space quantum walks with rigorous bounds on discretization error. To complement our quantum algorithms, we also prove that volume estimation requires (Ω(\sqrt n+1/\epsilon)) quantum membership queries, which rules out the possibility of exponential quantum speedup in (n) and shows optimality of our algorithm in (1/\epsilon) up to poly-logarithmic factors.