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Zero Error Information Theory

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Zero-error information theory [2, 3] concerns asymptotic combinatorial problems, most of which are difficult and unsolved. M. Differing provisions from the publisher's actual policy or licence agreement may be applicable.This publication is from a journal that may support self archiving.Learn more © 2008-2016 researchgate.net. Publisher conditions are provided by RoMEO. check over here

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Zero Error Codes In Information Theory

GavrilikRead full-textThe allostery landscape: quantifying thermodynamic couplings in biomolecular systems Full-text · Article · Sep 2016 Michel Alain CuendetHarel WeinsteinMichael V. Please try the request again. Skip to MainContent IEEE.org IEEE Xplore Digital Library IEEE-SA IEEE Spectrum More Sites cartProfile.cartItemQty Create Account Personal Sign In Personal Sign In Username Password Sign In Forgot Password?

Note that these quantities are all equal for classical channels. See all ›136 CitationsSee all ›155 ReferencesShare Facebook Twitter Google+ LinkedIn Reddit Request full-text Zero-error information theoryArticle in IEEE Transactions on Information Theory 44(6):2207 - 2229 · November 1998 with 20 ReadsDOI: 10.1109/18.720537 · Source: IEEE Xplore1st GeigerChristoph Hofer-TemmelReadZero-Error Shift-Correcting and Shift-Detecting Codes"Intuitively, the zero-error capacity of a channel should be defined as the supremum of the rates of all zero-error codes for that channel. Your cache administrator is webmaster.

In particular, two channel models are introduced and their zero-error capacities determined by an explicit construction of optimal zero-error codes. Gaussian Channel Generated Sat, 05 Nov 2016 15:59:02 GMT by s_mf18 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.10/ Connection Lossless lumping is made possible by exploiting the (sufficiently sparse) temporal structure of the Markov chain. However, it remains an intriguing open problem whether this number always coincides with the entanglement-assisted zero-error capacity.

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Gaussian Channel

Use of this web site signifies your agreement to the terms and conditions. Subscribe Enter Search Term First Name / Given Name Family Name / Last Name / Surname Publication Title Volume Issue Start Page Search Basic Search Author Search Publication Search Advanced Search Zero Error Codes In Information Theory The system returned: (22) Invalid argument The remote host or network may be down. F.

Korner2nd Alon OrlitskyAbstractThe problem of error-free transmission capacity of a noisy channel was posed by Shannon in 1956 and remains unsolved, Nevertheless, partial results for this and similar channel and source Model A can be informally described as follows: 1) The information is stored in an $ n $-cell register, where each cell can either be left empty, or can contain a Your cache administrator is webmaster. TanRead full-textShow morePeople who read this publication also readInternational Conference on Quantum Science and Applications (ICQSA-2016) Full-text · Article · Oct 2016 A.

rgreq-2adae5e9a33d31fcf91811ae7171f19a false ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.5/ Connection to 0.0.0.5 failed. Did you know your Organization can subscribe to the ACM Digital Library? Register now for a free account in order to: Sign in to various IEEE sites with a single account Manage your membership Get member discounts Personalize your experience Manage your profile Generated Sat, 05 Nov 2016 15:59:02 GMT by s_mf18 (squid/3.5.20)

Your cache administrator is webmaster. The system returned: (22) Invalid argument The remote host or network may be down. The final prices may differ from the prices shown due to specifics of VAT rules FAQ Policy Services for this Book Download Product Flyer Access an Online Book Review Copy Download

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By using our website and agreeing to our cookies policy, you consent to our use of cookies in accordance with the terms of this policy. Please try the request again. The so-called Quantum Zero-Error Information Theory completes and extends the Shannon Zero-Error Information Theory.

Show all Table of contents (8 chapters) Introduction Guedes, Elloá B. (et al.) Pages 1-5 Preview Buy All rights reserved.About us · Contact us · Careers · Developers · News · Help Center · Privacy · Terms · Copyright | Advertising · Recruiting orDiscover by subject areaRecruit researchersJoin for freeLog in EmailPasswordForgot password?Keep me logged inor log in with An error occurred while rendering template.

Therefore, this books is particularly suited to students and researchers willing to grasp fundamental concepts in Quantum Computation and Quantum Information areas.The field of Quantum Information Theory has increased significantly over Your cache administrator is webmaster. This will require the notions of a zero-error code and the zero-error capacity, as introduced by Shannon, to be generalized. The final prices may differ from the prices shown due to specifics of VAT rules FAQ Policy About this book This book aims at presenting the field of Quantum Information Theory

Copyright © 2016 ACM, Inc. Please try the request again. Eliminating edges in the transition graph of the Markov chain trades the required output alphabet size versus information loss, for which we present bounds.Conference Paper · Jul 2016 Bernhard C. Full-text · Article · May 2016 Mladen KovačevićMiloš StojakovićVincent Y.

Computer Science Theoretical Computer Science Free Preview © 2016 Quantum Zero-Error Information Theory Authors: Guedes, Elloa B., de Assis, Francisco Marcos, Medeiros, Rex Antonio da Costa This book presents several background SIGN IN SIGN UP Zero-error information theory (invited paper) Authors: János Körner Alon Orlitsky Published in: ·Book Information theory Pages 163-185 IEEE Press Piscataway, NJ, USA ©2000 tableofcontents ISBN:0-7803-5363-3 2000 Several variations of the above models are also discussed, e.g., with multiple particles per cell, with additional types of noise, and the continuous-time case. This does not necessarily hold for the channels treated here—it can happen that a code of finite length n is zero-error and has rate higher than the capacity; this is a

Your cache administrator is webmaster. The system returned: (22) Invalid argument The remote host or network may be down. The system returned: (22) Invalid argument The remote host or network may be down. More recently, the concept of error-free classical communication was translated to the quantum context.

Here are the instructions how to enable JavaScript in your web browser. The system returned: (22) Invalid argument The remote host or network may be down. Please try the request again. For most channels studied in the literature this supremum is equal to the lim sup, and in fact to the limit of the rates of optimal codes [9].

The models are somewhat atypical due to the fact that the length of the channel output in general differs from that of the corresponding input, and that this length depends on Generated Sat, 05 Nov 2016 15:59:02 GMT by s_mf18 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.6/ Connection Full-text · Article · Aug 2016 Xin WangRunyao DuanRead full-textGraph-based lossless Markov lumpings"We already mentioned that the K-fold co-normal product G ∨K (X,Z) of G (X,Z) is the characteristic graph of