  We study the characteristic polynomial of Haar distributed random unitary
matrices. We show that after a suitable normalization, as one increases the
size of the matrix, powers of the absolute value of the characteristic
polynomial as well as powers of the exponential of its argument converge in law
to a Gaussian multiplicative chaos measure for small enough real powers. This
establishes a connection between random matrix theory and the theory of
Gaussian multiplicative chaos.
