We prove the sharp uniform continuity bound for quantum conditional entropy. If two bipartite states are at trace distance at most
δ and
d=dimA, the optimal dimension-only modulus of continuity is
h2(δ)+δlog(d2−1) up to
δ=1−d−2 and
2logd thereafter, where
h2 denotes the binary entropy. When
dimB≥d, this bound is tight for every
δ∈[0,1]. The key proof idea was developed with the assistance of ChatGPT 5.6 Sol, building on and adapting the tight classical proof of Alhejji \& Smith [IEEE ISIT (2020)], which follows a conceptually different approach.
We determine the sharp modulus of continuity, in trace distance, of the optimized Petz and sandwiched Rényi conditional entropies for every order
α∈[21,1). If two bipartite states are within trace distance
δ, then both conditional entropies differ by at most
1−α1log[(1−ε)α+(D−1)1−αεα], where
ε:=min{δ,1−1/D} and
D is the effective dimension, given by the dimension of the first subsystem times the largest possible Schmidt rank. For every distance constraint
δ∈[0,1], the bound is attained by an isotropic pair with a maximally entangled anchor. Taking
α↑1 recovers the recent sharp continuity bound of quantum conditional entropy by Berta et al. [arXiv:2607.24687].
The proof linearizes the relevant concave Rényi functional at a comparison point dictated by the isotropic equality family. Schmidt-rank domination extends the equality geometry to an arbitrary anchor state, after which trace-distance duality and a noncommutative calibration estimate control the perturbation and anchor term without weakening the sharp constant. The latter estimate requires matrix analysis and is assisted by ChatGPT 5.6 Sol.