2000
DOI: 10.1103/physrevlett.85.4418
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Violations of Local Realism by Two EntangledN-Dimensional Systems Are Stronger than for Two Qubits

Abstract: Tests of local realism versus quantum mechanics based on Bell's inequality employ two entangled qubits. We investigate the general case of two entangled quantum systems defined in N-dimensional Hilbert spaces, or " quNits." Via a numerical linear optimization method we show that violations of local realism are stronger for two maximally entangled quNits ( 3 Show more

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Cited by 511 publications
(556 citation statements)
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“…Since orbital angular momentum entangled photons can be used as However the ultimate confirmation of the entanglement of the orbital angular momentum will be a Bell inequality experiment generalized to more states [14]. Such an experiment will also give a quantitative measure of the multi-dimensional entanglement produced by parametric down-conversion.…”
Section: Discussionmentioning
confidence: 99%
“…Since orbital angular momentum entangled photons can be used as However the ultimate confirmation of the entanglement of the orbital angular momentum will be a Bell inequality experiment generalized to more states [14]. Such an experiment will also give a quantitative measure of the multi-dimensional entanglement produced by parametric down-conversion.…”
Section: Discussionmentioning
confidence: 99%
“…The qutrit system was also suggested to be realized by nuclear magnetic resonance (NMR) utilizing deuterium nuclei partially oriented in liquid crystalline phase [4] or by trapped ions [5]. The use of qutrits instead of qubits was shown [6] to be more secure against symmetric attacks on a quantum key distribution protocol while the violation of local realism for two maximally entangled N -dimensional state is stronger than for qubits [7]. Thus an effective measurement of entanglement for high dimensional Hilbert space become useful.…”
Section: Introductionmentioning
confidence: 99%
“…These problems were described in detail in [2,3] and are, in fact, two-level optimization problems. The higher level problem is a non-convex non-linear optimization task.…”
Section: Introductionmentioning
confidence: 99%