We study the problem of testing identity of a collection of unknown quantum states given sample access to this collection, each state appearing with some known probability. We show that for a collection of d-dimensional quantum states of cardinality N, the sample complexity is O(? Nd/?2), with a matching lower bound, up to a multiplicative constant. The test is obtained by estimating the mean squared Hilbert-Schmidt distance between the states, thanks to a suitable generalization of the estimator of the Hilbert-Schmidt distance between two unknown states by Badescu, O'Donnell, andWright (https://dl.acm.org/doi/10.1145/3313276.3316344). © The Author(s) 2023.
Testing identity of collections of quantum states: sample complexity analysis
Giovannetti Vittorio
2023
Abstract
We study the problem of testing identity of a collection of unknown quantum states given sample access to this collection, each state appearing with some known probability. We show that for a collection of d-dimensional quantum states of cardinality N, the sample complexity is O(? Nd/?2), with a matching lower bound, up to a multiplicative constant. The test is obtained by estimating the mean squared Hilbert-Schmidt distance between the states, thanks to a suitable generalization of the estimator of the Hilbert-Schmidt distance between two unknown states by Badescu, O'Donnell, andWright (https://dl.acm.org/doi/10.1145/3313276.3316344). © The Author(s) 2023.File | Dimensione | Formato | |
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