  Bayesian implementation concerns decision making problems when agents have
incomplete information. This paper proposes that the traditional sufficient
conditions for Bayesian implementation shall be amended by virtue of a quantum
Bayesian mechanism. In addition, by using an algorithmic Bayesian mechanism,
this amendment holds in the macro world.
