Thilo Scharnhorst, Jack Spilecki, John Wright (May 27 2026).
Abstract: In quantum purity amplification, one is given
n copies of a noisy quantum state
ρ∈Cd×d and asked to prepare
k copies of its principal eigenstate
∣vd⟩. Several prior works have derived information-theoretically optimal algorithms for this problem, but the bounds they prove are only shown in the asymptotic regime as the number of samples
n tends to infinity. In this paper, we establish the following nonasymptotic guarantee: if
ρ's eigenvalues are sorted
p1≤⋯≤pd and
pd−1<pd, then \beginequation* n = O\Big(k + \frack\delta ⋅\frac1-p_d(p_d-p_d-1)^2\Big) \endequation* copies suffice to output a state with fidelity at least
1−δ with
∣vd⊗k⟩. Our bound holds for arbitrary spectra, and is independent of the dimension
d. In the case of depolarizing noise, our finite-sample guarantee matches the optimal asymptotic scaling. Our proof is based on the combinatorics of random Young diagrams.