Single-letter classical capacity of generalized amplitude damping
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For every generalized amplitude-damping qubit channel $A_{\gamma ,\nu }$, $\gamma ,\nu \in [0,1]$, is its n-copy Holevo information exactly n times its one-copy value for every $n\geq 1$? Require that the one-copy optimizer is a phase-opposite equiprobable pair $\operatorname{sqrt}(1-p)|0>\pm \operatorname{sqrt}(p)|1>$, so its optimized output-entropy difference gives the unassisted classical capacity.Short English statement
For every generalized amplitude-damping qubit channel $A_{\gamma ,\nu }$, $\gamma ,\nu \in [0,1]$, is its n-copy Holevo information exactly n times its one-copy value for every $n\geq 1$? Require that the one-copy optimizer is a phase-opposite equiprobable pair $\operatorname{sqrt}(1-p)|0>\pm \operatorname{sqrt}(p)|1>$, so its optimized output-entropy difference gives the unassisted classical capacity.Sources
- S1 Original question source or mathematical context. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Classical-capacity-and-entropy-inequalities-for-generalized-amplitude-damping-September-24-2026/build/paper.tex.
- S2 OpenAI, manuscript citation page. Source of the formulation motivating this local problem. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Classical-capacity-and-entropy-inequalities-for-generalized-amplitude-damping-September-24-2026/README.md.
Statement licence: CC-BY-4.0 · Source file
Contributions 1
OpenAI claim summary for Phys-43
Every generalized amplitude-damping qubit channel is claimed to have an explicit one-variable unassisted capacity formula achieved by binary pure states, with the listed universal partner-channel additivities. The question retains these same parameters and conventions. Within these assumptions, this is a claimed affirmative answer to the stated question.
Single-letter classical capacity of generalized amplitude damping
OpenAI's claim
OpenAI presents a proof in the selected manuscript. Every generalized amplitude-damping qubit channel is claimed to have an explicit one-variable unassisted capacity formula achieved by binary pure states, with the listed universal partner-channel additivities.Mathematical statement of the claimed result
Result 1.
For $\gamma,\nu\in[0,1]$, define the qubit channel \[ \mathcal A_{\gamma,\nu}\begin{pmatrix}1-q&z\\\overline z&q\end{pmatrix} =\begin{pmatrix}1-t&\sqrt{1-\gamma}z\\\sqrt{1-\gamma}\overline z&t\end{pmatrix}, \quad t=(1-\gamma)q+\gamma\nu. \] Put $h(t)=-t\log t-(1-t)\log(1-t)$, $g(u)=h((1+\sqrt{1-4u})/2)$, and $v_{\gamma,\nu}(p)=\gamma\nu(1-\nu)+\gamma(1-\gamma)(p-\nu)^2$. The claimed Holevo-information formula in bits is \[ \chi(\mathcal A_{\gamma,\nu}^{\otimes n}) =n\chi(\mathcal A_{\gamma,\nu}) =\frac n{\log2}\max_{0\le p\le1} [h((1-\gamma)p+\gamma\nu)-g(v_{\gamma,\nu}(p))] \] for every $n\ge1$, so its unassisted classical capacity is single-letter. Independent products of the two equiprobable states $\sqrt{1-p}|0\rangle\pm\sqrt p|1\rangle$, at a maximizing $p$, attain this information.Outline of the argument
A block-entropy inequality is reduced to log-determinant comparisons and contraction convexity. This controls correlated channel inputs, proves the one-use binary optimum, and extends the entropy and Holevo bounds to arbitrary finite-dimensional tensor partners.Formal verification
For family 276, the documented theorem gives the attained scalar capacity formula and repeated-use additivity for the same amplitude-damping channel. Additivity with arbitrary different partner channels is beyond this entry. The listed Comparator files areAmplitudeDamping.lean. Named declarations include OAI.GAD.main. This site has not executed the Lean code. The scope descriptions do not certify the remaining manuscript arguments.Status caveat
OpenAI attributes these manuscripts to work by an internal model. Its release cautions that arguments without formalization can contain mistakes. This catalogue has not independently checked the proofs; the labels report the mathematical claims attributed to OpenAI.Sources
- OpenAI, Classical capacity and entropy inequalities for generalized amplitude damping, 2026-09-24; citation key
OAI:Classical-capacity-and-entropy-inequalities-for-generalized-amplitude-damping-September-24-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - Family 276: Lean scope.
- Comparator AmplitudeDamping.json.
- Comparator AmplitudeDamping.lean.
- OpenAI catalogue entry.