論文

査読有り
2019年7月4日

Resource reduction for distributed quantum information processing using quantum multiplexed photons

  • Nicolo Lo Piparo
  • ,
  • Michael Hanks
  • ,
  • Claude Gravel
  • ,
  • Kae Nemoto
  • ,
  • WIlliam J. Munro

Distributed quantum information processing is based on the transmission of
quantum data over lossy channels between quantum processing nodes. These nodes
may be separated by a few microns or on planetary scale distances, but
transmission losses due to absorption/scattering in the channel are the major
source of error for most distributed quantum information tasks. Of course
quantum error detection (QED) /correction (QEC) techniques can be used to
mitigate such effects but error detection approaches have severe performance
issues due to the signaling constraints between nodes and so error correction
approaches are preferable - assuming one has sufficient high quality local
operations. Typical loss based QEC utilizes a one qubit per photon encoding.
However single photons can carry more than one qubit of information and so our
focus in this work is to explore whether loss-based quantum error correction
utilizing quantum multiplexed photons is viable and advantageous, especially as
photon loss results in more than one qubit of information being lost.

リンク情報
arXiv
http://arxiv.org/abs/arXiv:1907.02240
Arxiv Url
http://arxiv.org/abs/1907.02240v1
Arxiv Url
http://arxiv.org/pdf/1907.02240v1 本文へのリンクあり