2013/10/31 by Masahiro Takeoka, Saikat Guha, Mark M. Wilde · 1 citation
Physics and Astronomy · Computer Science · Mathematics · #quant-ph #cs.IT #math.IT
paper · pdf · doi:10.1109/tit.2014.2330313
published as IEEE Transactions on Information Theory, vol. 60, no. 8, pages 4987-4998, August 2014 · v3: 25 pages, 3 figures, significant expansion of paper; v2: error in a prior version corrected (main result unaffected), cited Tucci for his work related to squashed entanglement; 5 + epsilon pages and 2-page appendix
arxiv created 2014/01/21 · arxiv updated 2014/07/16
This paper defines the squashed entanglement of a quantum channel as the maximum squashed entanglement that can be registered by a sender and receiver at the input and output of a quantum channel, respectively. A new subadditivity inequality for the original squashed entanglement measure of Christandl and Winter leads to the conclusion that the squashed entanglement of a quantum channel is an additive function of a tensor product of any two quantum channels. More importantly, this new subadditivity inequality, along with prior results of Christandl, Winter, et al., establishes the squashed entanglement of a quantum channel as an upper bound on the quantum communication capacity of any channel assisted by unlimited forward and backward classical communication. A similar proof establishes this quantity as an upper bound on the private capacity of a quantum channel assisted by unlimited forward and backward public classical communication. This latter result is relevant as a limitation on rates achievable in quantum key distribution. As an important application, we determine that these capacities can never exceed log((1+eta)/(1-eta)) for a pure-loss bosonic channel for which a fraction eta of the input photons make it to the output on average. The best known lower bound on these capacities is equal to log(1/(1-eta)). Thus, in the high-loss regime for which eta << 1, this new upper bound demonstrates that the protocols corresponding to the above lower bound are nearly optimal.