Expurgation Exponent of Leaked Information in Privacy Amplification for Binary Sources

We investigate the privacy amplification problem in which Eve can observe the uniform binary source through a binary erasure channel (BEC) or a binary symmetric channel (BSC). For this problem, we derive the so-called expurgation exponent of the information leaked to Eve. The exponent is derived by relating the leaked information to the error probability of the linear code that is generated by the linear hash function used in the privacy amplification, which is also interesting in its own right. The derived exponent is larger than state-of-the-art exponent recently derived by Hayashi at low rate.Comment: 5 pages, 7 figures, to be presented at IEEE Information Theory Workshop (ITW) 201

Lower Bounds on the Quantum Capacity and Highest Error Exponent of General Memoryless Channels

Tradeoffs between the information rate and fidelity of quantum error-correcting codes are discussed. Quantum channels to be considered are those subject to independent errors and modeled as tensor products of copies of a general completely positive linear map, where the dimension of the underlying Hilbert space is a prime number. On such a quantum channel, the highest fidelity of a quantum error-correcting code of length $n$ and rate R is proven to be lower bounded by 1 - \exp [-n E(R) + o(n)] for some function E(R). The E(R) is positive below some threshold R', which implies R' is a lower bound on the quantum capacity. The result of this work applies to general discrete memoryless channels, including channel models derived from a physical law of time evolution, or from master equations.Comment: 19 pages, 2 figures. Ver.2: Comparisons with the previously known bounds and examples were added. Except for very noisy channels, this work's bound is, in general, better than those previously known. Ver.3: Introduction shortened. Minor change