Derives dimension-independent nonasymptotic bounds for preparing k copies of the dominant eigenvector from noisy quantum states using random Young diagram combinatorics.
Kerov's central limit theorem for Schur-Weyl measures of parameter 1/2
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abstract
We show that Kerov's central limit theorem related to the fluctuations of Young diagrams under the Plancherel measure extends to the case of Schur-Weyl measures, which are the probability measures on partitions associated to the representations of the symmetric groups $S_n$ on tensor products of vector spaces $V^{\otimes n}$ (cf. arXiv:math/0006111). More precisely, the fluctuations are exactly the same up to a translation of the diagrams along the x-axis. Our proof is inspired by the one given by Ivanov and Olshanski in arXiv:math/0304010 for the Plancherel measure, and it relies on the combinatorics of the algebra of observable of diagrams. We also use Sniady's theory of cumulants of observables, cf. arXiv:math/0501112.
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quant-ph 1years
2026 1verdicts
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Nonasymptotic bounds for quantum purity amplification
Derives dimension-independent nonasymptotic bounds for preparing k copies of the dominant eigenvector from noisy quantum states using random Young diagram combinatorics.