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      Violating the Shannon capacity of metric graphs with entanglement

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          Abstract

          The Shannon capacity of a graph G is the maximum asymptotic rate at which messages can be sent with zero probability of error through a noisy channel with confusability graph G. This extensively studied graph parameter disregards the fact that on atomic scales, Nature behaves in line with quantum mechanics. Entanglement, arguably the most counterintuitive feature of the theory, turns out to be a useful resource for communication across noisy channels. Recently, Leung, Mancinska, Matthews, Ozols and Roy [Comm. Math. Phys. 311, 2012] presented two examples of graphs whose Shannon capacity is strictly less than the capacity attainable if the sender and receiver have entangled quantum systems. Here we give new, possibly infinite, families of graphs for which the entangled capacity exceeds the Shannon capacity.

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          On Orthogonal Matrices

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            Quantum vs. classical communication and computation

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              The cost of exactly simulating quantum entanglement with classical communication

              We investigate the amount of communication that must augment classical local hidden variable models in order to simulate the behaviour of entangled quantum systems. We consider the scenario where a bipartite measurement is given from a set of possibilities and the goal is to obtain exactly the same correlations that arise when the actual quantum system is measured. We show that, in the case of a single pair of qubits in a Bell state, a constant number of bits of communication is always sufficient--regardless of the number of measurements under consideration. We also show that, in the case of a system of n Bell states, a constant times 2^n bits of communication are necessary.
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                Author and article information

                Journal
                07 July 2012
                Article
                10.1073/pnas.1203857110
                1207.1779
                d8a9b958-ba93-48a5-bc49-0b6b1ffe356d

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                15 pages, 2 figures
                quant-ph cs.IT math.CO math.IT

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