Formulating Quantum Theory as a Causally Neutral Theory of Bayesian Inference
Matthew Leifer, Robert W. Spekkens
Quantum theory can be viewed as a generalization of classical probability
theory, but the analogy as it has been developed so far is not complete.
Classical probability theory is independent of causal structure, whereas the
conventional quantum formalism requires causal structure to be fixed in
advance. In this paper, we develop the formalism of quantum conditional states,
which unifies the description of experiments involving two systems at a single
time with the description of those involving a single system at two times. The
analogies between quantum theory and classical probability theory are expressed
succinctly within the formalism and it unifies the mathematical description of
distinct concepts, such as ensemble preparation procedures, measurements, and
quantum dynamics. We introduce a quantum generalization of Bayes' theorem and
the associated notion of Bayesian conditioning. Conditioning a quantum state on
a classical variable is the correct rule for updating quantum states in light
of classical data, regardless of the causal relationship between the classical
variable and the quantum degrees of freedom, but it does not include the
projection postulate as a special case. We show that previous arguments that
projection is the quantum generalization of conditioning are based on
misleading analogies. Since our formalism is causally neutral, conditioning
provides a unification of the predictive and retrodictive formalisms for
prepare-and-measure experiments and leads to an elegant derivation of the set
of states that a system can be steered to by making measurements on a remote
system.
•Jul 29, 2011•28 citations