Fast Channel Simulation via Error-Correcting Codes

Sharang M. Sriramu, Rochelle Barsz, Elizabeth Polito, Aaron B. Wagner
2/3/2026

No confident code implementation found for this paper. 2 possible matches can be shown below.

Abstract

We consider the design of practically-implementable schemes for the task of channel simulation. Existing methods do not scale with the number of simultaneous uses of the channel and are therefore unable to harness the amortization gains associated with simulating many uses of the channel at once. We show how techniques from the theory of error-correcting codes can be applied to achieve scalability and hence improved performance. As an exemplar, we focus on how polar codes can be used to efficiently simulate i.i.d. copies of a class of binary-output channels.

DOISemantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{sriramu2026fast,
  title  = {Fast Channel Simulation via Error-Correcting Codes},
  author = {Sharang M. Sriramu and Rochelle Barsz and Elizabeth Polito and Aaron B. Wagner},
  year   = {2026},
  doi    = {10.52202/079017-3427},
  url    = {https://doi.org/10.52202/079017-3427},
  journal = {NEURIPS 2024 2024}
}

Discussion