Moderate Deviation Analysis for Classical-Quantum Channels and Quantum Hypothesis Testing
January 12, 2017 Β· Declared Dead Β· π IEEE Transactions on Information Theory
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Authors
Hao-Chung Cheng, Min-Hsiu Hsieh
arXiv ID
1701.03195
Category
quant-ph: Quantum Computing
Cross-listed
cs.IT
Citations
53
Venue
IEEE Transactions on Information Theory
Last Checked
2 months ago
Abstract
In this work, we study the tradeoffs between the error probabilities of classical-quantum channels and the blocklength $n$ when the transmission rates approach the channel capacity at a rate slower than $1/\sqrt{n}$, a research topic known as moderate deviation analysis. We show that the optimal error probability vanishes under this rate convergence. Our main technical contributions are a tight quantum sphere-packing bound, obtained via Chaganty and Sethuraman's concentration inequality in strong large deviation theory, and asymptotic expansions of error-exponent functions. Moderate deviation analysis for quantum hypothesis testing is also established. The converse directly follows from our channel coding result, while the achievability relies on a martingale inequality.
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