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Codeword Stabilized Quantum Codes

โœ Scribed by Cross, A.; Smith, G.; Smolin, J.A.; Bei Zeng

Book ID
114641139
Publisher
IEEE
Year
2009
Tongue
English
Weight
160 KB
Volume
55
Category
Article
ISSN
0018-9448

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In this paper, we consider the following question about Huffman coding, which is an important technique for compressing data from a discrete source. If p is the smallest source probability, how long, in terms of p, can the longest Huffman codeword be? We show that if p is in the range 0 < p <\_ 1/2,