| Literature DB >> 21811240 |
Roger Colbeck1, Renato Renner.
Abstract
According to quantum theory, measurements generate random outcomes, in stark contrast with classical mechanics. This raises the question of whether there could exist an extension of the theory that removes this indeterminism, as suspected by Einstein, Podolsky and Rosen. Although this has been shown to be impossible, existing results do not imply that the current theory is maximally informative. Here we ask the more general question of whether any improved predictions can be achieved by any extension of quantum theory. Under the assumption that measurements can be chosen freely, we answer this question in the negative: no extension of quantum theory can give more information about the outcomes of future measurements than quantum theory itself. Our result has significance for the foundations of quantum mechanics, as well as applications to tasks that exploit the inherent randomness in quantum theory, such as quantum cryptography.Entities:
Year: 2011 PMID: 21811240 PMCID: PMC3265370 DOI: 10.1038/ncomms1416
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Figure 1Illustration of the scenario.
A measurement is carried out on a particle, depicted as a photon measured using an arrangement comprising a polarizing beam splitter and two detectors. The measurement choice (the angle of the polarizing beam splitter) is denoted A and the outcome, X, is assigned −1 or 1 depending on which detector fires. On the right, we represent the additional information that may be provided by an extended theory, Ξ, shown here taking the form of either (a) hidden variables, that is, a classical list assigning outcomes, or (b) a more general (for example, quantum) system.
Figure 2Achievable values of IN depending on the experimental visibility.
This figure relates to the measurement setup used for testing the accuracy of assumption QM as described in the Methods. The setup involves two parties and is parameterized by the number of possible measurement choices available to each party, N. The plot gives the minimum IN achievable depending on the visibility (red line), which determines the smallest upper bound on the variational distance from the perfect Markov chain condition (1) that could be obtained with that visibility (see equation (8)). It also shows the optimal value of N which achieves this (blue line). For comparison, the values achievable using N=2, which corresponds to the CHSH measurements26 (yellow line), and the case N=8, which is optimal for visibility 0.98 (green line), are shown.