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All the Bell Inequalities

 contact:  R. F. Werner  date:  25 Oct 1999  last progress:  22 Oct 2002  solved by:    -  

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Remarks   Problem   Background   Partial Solutions   Literature  

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Remarks

The title was taken from a recent exposition by A. Peres [Pe].

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Problem

Find all those linear inequalities characterizing the existence of joint probability distributions for all variables in a correlation experiment.

More specifically, suppose that measurements are made on systems, which are decomposed into N subsystems. On each of these subsystems one out of M observables is measured, producing K outcomes each. Thus we consider MN different experimental setups, each of which may lead to KN different outcomes, so all in all (M K)N probabilities are measured. Classically (in a "realistic local theory'') these numbers would be generated by specifying probabilities for each "classical configuration'', i. e. every assignment of one of the K values to each of the N M observables. Thus the task is to characterize a convex polyhedron in (M K)N dimensions (minus a few for normalization constraints), which is generated by K(N M) explicitly known extreme points, in terms of linear inequalities.

For (N,M,K)=(2,2,2) this is solved by the CHSH inequalities. A general solution for all N,M,K is highly unlikely to exist. Therefore we pose the following more managable tasks:

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Background

This is a special instance of a standard problem in convex geometry: compute the (maximal) faces of a polyhedron given in terms of its extreme points. That is: given R vectors ek in a finite dimensional real vector space, find the extreme points of the convex set of vectors f such that f \cdot ek <= 1 for all k. By the Bipolar Theorem [Sc], (or "Farkas' Lemma'', a special case for polyhedral cones) x then lies in the convex hull of the ek and the origin, if and only if f \cdot x <= 1 for all extremal f. It is easy to decide when such a vector f is extremal: in that case f must be uniquely determined by the equations f \cdot ek =1 it satisfies.

To find some extreme point is not so difficult: there is a standard algorithm for maximizing an affine functional on a convex set given in this way known as the Simplex Algorithm, which runs into an extreme point. It is an entirely different matter, however, to ask for all extreme points. A straightforward method would be to list all subsets of {1,...,R} with (#elements)=(#dimensions), and to check for each whether the corresponding set of equations determines an inequality vector f. It is immediately clear that such a brute force approach to the above problem will end in an exponential-of-exponential explosion of computing time, and is bound to fail. There are more intelligent algorithms (e. g. the packages available on netlib, C++ or in Mathematica), but they, too, all run into serious growth problems for very small (N,M,K). In fact, there is a theorem by Pitovski to the effect that in a closely related problem finding the inequalities would also solve some known hard problems in computational complexity (e. g. to the notorious NP = P, resp. NP = coNP questions [Pi]).

So a solution of the problem as posed here necessarily makes use of the structure of these particular convex sets.

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Partial Solutions

Constraints on the possible range of values of correlations in the form of inequalities have been investigated for many years (see the monograph by Frechet [Fre]), even before physicists developed an interest in that subject due to the work of Bell [Be]. The convex geometry aspect of the above problem was seen clearly by many authors in the last two decades (e. g. [Fr], [Ci], [GM], [Pi], [Pe]). Undoubtedly some of these have conducted numerical searches for new Bell inequalities. However, there is only little knowledge about inequalities beyond the case (N,M,K)=(2,2,2). Posing this problem is intended as a focal point for putting together the compilations, and the existing general observations, so that the state of the art becomes accessible to a wider community.

Can anyone add to this list?

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Literature

[Ac]A. Acin, »Distillability, Bell inequalities and multiparticle bound entanglement«, Phys. Rev. Lett. 88, 027901 (2002) and quant-ph/0108029 (2001).
[ASWa]A. Acin, V. Scarani, M. M. Wolf, »Violation of Bell's inequalities implies distillability for N qubits«, quant-ph/0112102 (2001).
[ASWb]A. Acin, V. Scarani, M. M. Wolf, »Bell inequalities and distillability in N-quantum-bit systems«, quant-ph/0206084 (2002).
[Be]J. S. Bell, »On the Einstein Podolsky Rosen Paradox«, Physics 1 (1964).
[BT]D. Bacon, B. F. Toner, »Bell inequalities with communication«, quant-ph/0208057 (2002).
[CGLMP]D. Collins, N. Gisin, N. Linden, S. Massar, S. Popescu, »Bell Inequalities for Arbitrarily High-Dimensional Systems«, Phys. Rev. Lett 88, 040404 (2002) and quant-ph/0106024 (2001).
[Fr]M. Froissart, »Constructive generalization of Bell's inequalities«, Nuovo Cimento B 64, 241 (1981).
[CB]M. Zukowski, C. Brukner, »Bell's theorem for general N-qubit states«, Phys. Rev. Lett. 88, 210401 (2002) and quant-ph/0102039 (2001).
[Ci]B. S. Tsirelson, »Quantum Analogues to the Bell Inequalities«, J. Sov. Math. 36 (1987); B. S. Tsirelson, L. A. Khalfin, »Quantum/Classical Correspondence in the Light of Bell's Inequalities«, Found. Phys. 22, 879 (1992).
[Du]W. Dür, »Multipartite bound entangled states that violate Bell's inequality«, Phys. Rev. Lett. 87, 230402 (2001) and quant-ph/0107050 (2001).
[Fi]A. Fine, »Hidden Variables, Joint Probability, and the Bell Inequalities«, Phys. Rev. Lett. 48, 291 (1982).
[GM]A. Garg, N. D. Mermin, »Farkas's lemma and the nature of reality: Statistical implications of quantum correlations«, Found. Phys. 14, 1 (1984).
[MPRG]S. Massar, S. Pironio, J. Roland, B. Gisin, »A Zoology of Bell inequalities resistant to detector inefficiency«, quant-ph/0205130 (2002).
[Pe]A. Peres, »All the Bell Inequalities«, Found. Phys. 29, 589 (1999) and quant-ph/9807017 (1998).
[Pi]I. Pitovsky, »Quantum Probability - Quantum Logic«, Springer (Berlin) 1989.
[Fre]M. Fr\'echet, »Les Probabilit\'es Associ\'ees a un Syst\`eme D'\'Ev\'entments Compatibles et D\'epandants«, Hermann (Paris) 1940.
[Sc]H. H. Schaefer, »Topological Vector Spaces«, Springer (Berlin) 1980.
[PS]I. Pitowsky and K. Svozil, »New optimal tests of quantum nonlocality«, quant-ph/0011060 (2000).
[WW]R. F. Werner and M. M. Wolf, »All multipartite Bell correlation inequalities for two dichotomic observables per site«, quant-ph/0102024 (2001).
[WWa]R. F. Werner and M. M. Wolf, »Bell inequalities and Entanglement«, Quant. Inf. Comp. 1 (3), 1 (2002) and quant-ph/0107093 (2001).


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