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(√N d/ϵ²), 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, and Wright (https://dl.acm.org/doi/10.1145/3313276.3316344).
Testing identity of collections of quantum states: sample complexity analysis
Fanizza, Marco;Salvia, Raffaele;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(√N d/ϵ²), 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, and Wright (https://dl.acm.org/doi/10.1145/3313276.3316344).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.