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Information Causality and Noisy Computations

Published 17 Oct 2010 in quant-ph, gr-qc, and hep-th | (1010.3419v4)

Abstract: We reformulate the information causality in a more general framework by adopting the results of signal propagation and computation in a noisy circuit. In our framework, the information causality leads to a broad class of Tsirelson inequalities. This fact allows us to subject information causality to experimental scrutiny. A no-go theorem for reliable nonlocal computation is also derived. Information causality prevents any physical circuit from performing reliable computations.

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