  The maximum likelihood amplitude estimation algorithm (MLAE) is a practical
solution to the quantum amplitude estimation problem with Heisenberg limit
error convergence. We improve MLAE by using random depths to avoid the
so-called critical points, and do numerical experiments to show that our
algorithm is approximately unbiased compared to the original MLAE and
approaches the Heisenberg limit better.
