A Minimax Converse for Quantum Channel Coding
Joseph M. Renes

TL;DR
This paper establishes a minimax converse bound for quantum channel coding assisted by positive partial transpose channels, enabling explicit finite blocklength analysis and linking quantum channel bounds to classical counterparts.
Contribution
It introduces a semidefinite programming-based minimax converse bound with saddle point properties for quantum channels, simplifying finite blocklength analysis and connecting quantum and classical channel bounds.
Findings
Finite blocklength bounds for quantum erasure channels mirror classical results.
Bounds for dephasing and depolarizing channels align with classical binary symmetric channel bounds.
The convex bound simplifies optimization via channel symmetries.
Abstract
We prove a one-shot "minimax" converse bound for quantum channel coding assisted by positive partial transpose channels between sender and receiver. The bound is similar in spirit to the converse by Polyanskiy, Poor, and Verdu [IEEE Trans. Info. Theory 56, 2307-2359 (2010)] for classical channel coding, and also enjoys the saddle point property enabling the order of optimizations to be interchanged. Equivalently, the bound can be formulated as a semidefinite program satisfying strong duality. The convex nature of the bound implies channel symmetries can substantially simplify the optimization, enabling us to explicitly compute the finite blocklength behavior for several simple qubit channels. In particular, we find that finite blocklength converse statements for the classical erasure channel apply to the assisted quantum erasure channel, while bounds for the classical binary symmetric…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Error Correcting Code Techniques · Wireless Communication Security Techniques
