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Dec 5, 2004. We define a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel.
This is because the formula for the quantum capacity involves maximizing the coherent information over an unbounded number of channel uses. In fact, entanglement across channel uses can even increase the coherent information from.
Nov 26, 2013. Shannon capacity. graph theory | information theory | quantum information |. of the zero-error capacity, the maximum rate of error-free com-.
The notion of zero-error capacity of a communication channel appeared in the classical works of Shannon, and essential progress in the study of it has been made by.
We define here a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement.
We define a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a.
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. Bound for Classical-Quantum Channels", submitted (arxiv:1509.00715), Sep. Bhattacharyya Distance of Codes for Channels with a Zero-Error Capacity",
Runtime Error Has Occured. Do You Wish To Debug files, because we do not need to debug their code at all, so why waste kbs? Bootstrap has some good and useful stuff, that you definitely. the application, error handling and a few other things that need to be mentioned. Node.js. This is not just a issue with the EPG
We then study the one-shot zero-error classical capacity of a quantum channel assisted by quantum non-signalling correlations, and the reverse problem of.
Nov 8, 2006. Abstract. The zero-error capacity of quantum channels was defined as the least upper bound of rates at which classical information can be.
(Phys.org)—As developed by Claude Shannon, information theory defines channel capacity as the maximum rate at.
arXiv:quant-ph/0403188v1 26 Mar 2004 Zero-error capacity of a quantum channel Rex A. C. Medeiros and Francisco M. de Assis Federal University of Campina Grande
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The P versus NP problem is a major unsolved problem in computer science. It asks whether every problem whose solution can be quickly verified (technically, verified.
In graph theory, the Lovász number of a graph is a real number that is an upper bound on the Shannon capacity of the graph. The Lovasz number also arises in quantum contextuality in an attempt to explain the power of quantum computers. Shannon, Claude (1956), "The zero error capacity of a noisy channel", IRE.
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Title: Quantum Zero-error Capacity. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally,
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