Abstract
Prediction is the making of statements, usually probabilistic, about future
events based on current information. Retrodiction is the making of statements
about past events based on current information. We present the foundations of
quantum retrodiction and highlight its intimate connection with the Bayesian
interpretation of probability. The close link with Bayesian methods enables us
to explore controversies and misunderstandings about retrodiction that have
appeared in the literature. To be clear, quantum retrodiction is universally
applicable and draws its validity directly from conventional predictive quantum
theory coupled with Bayes' theorem.
Users
Please
log in to take part in the discussion (add own reviews or comments).