Random doubly stochastic matrices: The circular law

Let X be a matrix sampled uniformly from the set of doubly stochastic matrices of size n.n. We show that the empirical spectral distribution of the normalized matrix .n(X.EX) converges almost surely to the circular law. This confirms a conjecture of Chatterjee, Diaconis and Sly.