Postselection Explained

In probability theory, to postselect is to condition a probability space upon the occurrence of a given event. In symbols, once we postselect for an event

E

, the probability of some other event

F

changes from \operatorname[F] to the conditional probability

\operatorname{Pr}[F|E]

.

For a discrete probability space, \operatorname[F\, |\, E] = \frac, and thus we require that \operatorname[E] be strictly positive in order for the postselection to be well-defined.

See also PostBQP, a complexity class defined with postselection. Using postselection it seems quantum Turing machines are much more powerful: Scott Aaronson proved[1] [2] PostBQP is equal to PP.

Some quantum experiments[3] use post-selection after the experiment as a replacement for communication during the experiment, by post-selecting the communicated value into a constant.

References

  1. Aaronson . Scott . 2005 . Quantum computing, postselection, and probabilistic polynomial-time . . 461 . 2063 . 3473–3482 . quant-ph/0412187 . 2005RSPSA.461.3473A . 10.1098/rspa.2005.1546.
  2. Web site: Complexity Class of the Week: PP. Aaronson. Scott. 2004-01-11. Computational Complexity Weblog. 2008-05-02.
  3. Hensen. Loophole-free Bell inequality violation using electron spins separated by 1.3 kilometres. Nature. 526. 7575. 682–686. 10.1038/nature15759. etal. 26503041. 1508.05949. 2015Natur.526..682H. 2015.