2009
DOI: 10.1109/tit.2008.2011424
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Channel Simulation With Quantum Side Information

Abstract: We study and solve the problem of classical channel simulation with quantum side information at the receiver. This is a generalization of both the classical reverse Shannon theorem, and the classical-quantum Slepian-Wolf problem. The optimal noiseless communication rate is found to be reduced from the mutual information between the channel input and output by the Holevo information between the channel output and the quantum side information.Our main theorem has two important corollaries. The first is a quantum… Show more

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Cited by 43 publications
(70 citation statements)
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“…Indeed, if we view each message generation in a protocol as a channel, then the information cost can be seen to be equal to the sum of the asymptotic costs of simulating many copies of each such channel with side information at the receiver and feedback to the sender [39], a task related to the reverse Shannon theorem [9,45,25,2,8,10], with application in particular in the setting of rate distortion theory with side-information at the receiver [47]. Using known bounds for this task [39], this yields a strengthening of the classical amortized communication result for bounded round complexity [17,14]. That is, we prove a bounded round variant of the result of Braverman and Rao about amortized communication and information complexity.…”
Section: Quantum Information Complexitymentioning
confidence: 99%
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“…Indeed, if we view each message generation in a protocol as a channel, then the information cost can be seen to be equal to the sum of the asymptotic costs of simulating many copies of each such channel with side information at the receiver and feedback to the sender [39], a task related to the reverse Shannon theorem [9,45,25,2,8,10], with application in particular in the setting of rate distortion theory with side-information at the receiver [47]. Using known bounds for this task [39], this yields a strengthening of the classical amortized communication result for bounded round complexity [17,14]. That is, we prove a bounded round variant of the result of Braverman and Rao about amortized communication and information complexity.…”
Section: Quantum Information Complexitymentioning
confidence: 99%
“…In the fully quantum setting, channel simulation, with side information at the receiver and with environment given as feedback to the sender, is equivalent to the state redistribution task [39,22,49,44]. This insight leads to the new, fully quantum definitions of information cost and complexity, and the link between state redistribution and protocol compression is then apparent.…”
Section: Quantum Information Complexitymentioning
confidence: 99%
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“…To do this, we consider the problem related to channel simulation [15]- [17], [60], [61]. Roughly speaking, the problem is described as follows.…”
Section: Appendix C Simulation Of Test Channelmentioning
confidence: 99%