• DocumentCode
    1766618
  • Title

    Streaming Universal Distortion-Free Entanglement Concentration

  • Author

    Blume-Kohout, Robin ; Croke, Sarah ; Gottesman, Daniel

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • Volume
    60
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    334
  • Lastpage
    350
  • Abstract
    This paper presents a streaming (sequential) protocol for universal entanglement concentration at the Shannon bound. Alice and Bob begin with N identical (but unknown) two-qubit pure states, each containing E ebits of entanglement. They each run a reversible algorithm on their qubits, and end up with Y perfect EPR pairs, where Y=NE ± O(√(N)). Our protocol is streaming, so the N input systems are fed in one at a time, and perfect EPR pairs start popping out almost immediately. It matches the optimal block protocol exactly at each stage, so the average yield after n inputs is 〈 Y〉=nE-O(logn). So, somewhat surprisingly, there is no tradeoff between yield and lag-our protocol optimizes both. In contrast, the optimal N-qubit block protocol achieves the same yield, but since no EPR pairs are produced until the entire input block is read, its lag is O(N). Finally, our algorithm runs in O(log N) space, so a lot of entanglement can be efficiently concentrated using a very small (e.g., current or near-future technology) quantum processor. Along the way, we find an optimal streaming protocol for extracting randomness from classical i.i.d. sources and a more space-efficient implementation of the Schur transform.
  • Keywords
    protocols; transforms; Schur transform; Shannon bound; Y perfect EPR pair; classical i.i.d. source; optimal N-qubit block protocol; optimal block protocol; quantum processor; reversible algorithm; sequential protocol; space-efficient implementation; streaming protocol; streaming universal distortion-free entanglement concentration; Channel coding; Data compression; Entropy; Indexes; Protocols; Quantum entanglement; Entanglement concentration; partially entangled states; quantum algorithms; quantum information; sequential coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2292135
  • Filename
    6671466