DocumentCode :
1178884
Title :
Channel Simulation With Quantum Side Information
Author :
Luo, Zhicheng ; Devetak, Igor
Author_Institution :
Dept. of Phys., Univ. of Southern California, Los Angeles, CA
Volume :
55
Issue :
3
fYear :
2009
fDate :
3/1/2009 12:00:00 AM
Firstpage :
1331
Lastpage :
1342
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 generalization of the Wyner-Ziv problem: rate-distortion theory with quantum side information. The second is an alternative proof of the tradeoff between classical communication and common randomness distilled from a quantum state. The fully quantum generalization of the problem considered is quantum state redistribution. Here the sender and receiver share a mixed quantum state and the sender wants to transfer part of her state to the receiver using entanglement and quantum communication. We present outer and inner bounds on the achievable rate pairs.
Keywords :
data compression; probability; quantum cryptography; quantum entanglement; rate distortion theory; Holevo information; Wyner-Ziv problem; channel simulation; classical-quantum Slepian-Wolf problem; entanglement; optimal noiseless communication rate; quantum communication; quantum generalization; quantum side information; quantum state redistribution; rate-distortion theory; reverse Shannon theorem; Data compression; Engineering profession; Entropy; Mutual information; Noise reduction; Probability distribution; Protocols; Quantum entanglement; Quantum mechanics; Rate-distortion; Channel simulation; common randomness distillation; quantum state redistribution; rate-distortion theory;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2008.2011424
Filename :
4787606
Link To Document :
بازگشت