Enhanced quantum capacity thresholds from symmetry
Avantika Agarwal, Amolak Ratan Kalra, Sungjai Lee, Debbie Leung, Luke Schaeffer, Pulkit Sinha, Graeme Smith

TL;DR
This paper significantly improves quantum capacity thresholds for key noise models by extending a representation theoretic framework to optimize coherent information, revealing new bounds in quantum communication.
Contribution
It generalizes a recent framework to the full symmetric subspace, enabling better capacity threshold estimates for depolarizing and Pauli channels.
Findings
First improvement in 18 years for depolarizing channel capacity thresholds.
Achieved a larger increase beyond the hashing bound than all previous efforts.
Identified exponential Kraus operator annihilation leading to decreased environment entropy.
Abstract
The quantum capacity captures the value of a quantum channel for transmitting quantum information, establishing the fundamental limits on quantum communication. In spite of its central role in quantum information theory, the quantum capacity of most channels is unknown, with wide gaps between the best upper and lower bounds. Even deciding whether a channel has nonzero capacity -- finding its capacity threshold -- is difficult. In this paper we report significant increases in the capacity thresholds of two prototypical noise models: the depolarizing channel and Pauli channels. In the case of the depolarizing channel, this is the first improvement in 18 years, giving a bigger increase beyond the hashing bound than all previous improvements combined. Our starting point is the representation theoretic framework recently proposed by Bhalerao and Leditzky (2025) to compute coherent…
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