Concept# Postselection

Summary

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{Pr}[F] to the conditional probability \operatorname{Pr}[F, |, E].
For a discrete probability space, \operatorname{Pr}[F, |, E] = \frac{\operatorname{Pr}[F , \cap , E]}{\operatorname{Pr}[E]}, and thus we require that \operatorname{Pr}[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 PostBQP is equal to PP.
Some quantum experiments use post-selection after the experiment as a replacement for communication during the experiment, by post-selecting t

Official source

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related publications

Loading

Related people

Loading

Related units

Loading

Related concepts

Loading

Related courses

Loading

Related lectures

Loading

Related units

No results

Related courses

No results

Related publications

No results

Related people

No results

Related concepts

No results

Related lectures

No results