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Abstract: We study the problem of compressing a block of symbols (a block quantum state) emitted by a memoryless quantum Bernoulli source. We present a simple-to-implement quantum algorithm for projecting, with high probability, the block quantum state onto the typical subspace spanned by the leading eigenstates of its density matrix. We propose a fixed-rate quantum Shannon-Fano code to compress the projected block quantum state using a per symbol code rate that is slightly higher than the von Neumann... (Update)
Context of citations to this paper: More
...1 Several hand constructed algorithms for block quantum data compression have been proposed. These include quantum arithmetic compression [2] which runs in O(n 3 ) time and a combinatoric index compression algorithm [3] running in O(n 3 ) time and O( p n) space. In further...
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BibTeX entry: (Update)
I. L. Chuang and D. S. Modha, Reversible Arithmetic Coding for Quantum Data Compression IEEE Transactions on Information Theory, Vol. 46, no. 3, pp. 1104-1116. http://citeseer.ist.psu.edu/287408.html More
@article{ chuang00reversible,
author = "Isaac Chuang and Dharmendra S. Modha",
title = "Reversible Arithmetic Coding for Quantum Data Compression",
journal = "IEEETIT: IEEE Transactions on Information Theory",
volume = "46",
year = "2000",
url = "citeseer.ist.psu.edu/287408.html" }
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