Classical simulation of quantum entanglement without local hidden variables

Serge Massar, Dave Bacon, Nicolas J. Cerf, and Richard Cleve
Phys. Rev. A 63, 052305 – Published 16 April 2001
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Abstract

Recent work has extended Bell’s theorem by quantifying the amount of communication required to simulate entangled quantum systems with classical information. The general scenario is that a bipartite measurement is given from a set of possibilities and the goal is to find a classical scheme that reproduces exactly the correlations that arise when an actual quantum system is measured. Previous results have shown that, using local hidden variables, a finite amount of communication suffices to simulate the correlations for a Bell state. We extend this in a number of ways. First, we show that, when the communication is merely required to be finite on average, Bell states can be simulated without any local hidden variables. More generally, we show that arbitrary positive operator valued measurements on systems of n Bell states can be simulated with O(n2n) bits of communication on average (again, without local hidden variables). On the other hand, when the communication is required to be absolutely bounded, we show that a finite number of bits of local hidden variables is insufficient to simulate a Bell state. This latter result is based on an analysis of the nondeterministic communication complexity of the NOT-EQUAL function, which is constant in the quantum model and logarithmic in the classical model.

  • Received 22 September 2000

DOI:https://doi.org/10.1103/PhysRevA.63.052305

©2001 American Physical Society

Authors & Affiliations

Serge Massar1, Dave Bacon2, Nicolas J. Cerf3,4, and Richard Cleve5

  • 1Service de Physique Théorique, Université Libre de Bruxelles, CP 225, 1050 Brussels, Belgium
  • 2Departments of Physics and Chemistry, University of California Berkeley, California 94704
  • 3Ecole Polytechnique, CP 165, Université Libre de Bruxelles, B-1050 Bruxelles, Belgium
  • 4Information and Computing Technologies Research Section, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109
  • 5Department of Computer Science, University of Calgary, Calgary, Alberta, Canada T2N 1N4

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Vol. 63, Iss. 5 — May 2001

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