Skip to content
aiqbench takeQuantum Comms

aiqbench analysis

This article investigates the theoretical capacity region of discrete memoryless broadcast channels under non-signaling assistance, bridging information theory with concepts from quantum physics regarding correlations that violate classical signaling constraints. While it does not address current AI models or near-term quantum hardware applications directly, its rigorous mathematical characterization is foundational for understanding communication limits in future quantum networks and advanced distributed learning systems where physical layer constraints are paramount.
Source coveringarXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

The Capacity Region of the Broadcast Channel with Non-Signaling Assistance

arXiv1 min read

arXiv:2607.27434v1 Announce Type: cross Abstract: The capacity region of the $K$-user discrete memoryless broadcast channel is fully characterized when non-signaling (NS) assistance is available to the transmitter and all $K$ receivers. The NS-assisted capacity region is shown to coincide with Sato's region, i.e., the region defined by sum-rate bounds over all subsets of messages, where each bound corresponds to full cooperation among that subset of receivers under a worst-case joint channel law consistent with the marginal channels.

Abstract:The capacity region of the $K$-user discrete memoryless broadcast channel is fully characterized when non-signaling (NS) assistance is available to the transmitter and all $K$ receivers. The NS-assisted capacity region is shown to coincide with Sato's region, i.e., the region defined by sum-rate bounds over all subsets of messages, where each bound corresponds to full cooperation among that subset of receivers under a worst-case joint channel law consistent with the marginal channels.

Information Theory (cs.IT); Quantum Physics (quant-ph)

arXiv:2607.27434 [cs.IT]

(or arXiv:2607.27434v1 [cs.IT] for this version)

https://doi.org/10.48550/arXiv.2607.27434 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 169 words

Related coverage