Channel Simulation and Coded Source Compression
Min-Hsiu Hsieh, Shun Watanabe

TL;DR
This paper develops a quantum version of coded source compression, connecting it with channel simulation, and derives optimal rate regions using quantum information protocols, highlighting the importance of measurement compression.
Contribution
It introduces the first single-letter characterization of quantum coded source compression with helpers, utilizing measurement compression and quantum protocols.
Findings
Measurement compression is necessary for optimal rate regions.
Single-letter formulas for quantum source coding with helpers are derived.
Quantum protocols like state merging are used to prove coding theorems.
Abstract
Coded source compression, also known as source compression with helpers, has been a major variant of distributed source compression, but has hitherto received little attention in the quantum regime. This work treats and solves the corresponding quantum coded source compression through an observation that connects coded source compression with channel simulation. First, we consider classical source coding with quantum side information where the quantum side information is observed by a helper and sent to the decoder via a classical channel. We derive a single-letter characterization of the achievable rate region for this problem. The direct coding theorem of our result is proved via the measurement compression theory of Winter, a quantum-to-classical channel simulation. Our result reveals that a helper's scheme which separately conducts a measurement and a compression is suboptimal, and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
