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This research introduces an efficient hierarchical discrimination algorithm that tests whether quantum states generated by black-box devices conform to Haar-random distributions without requiring prohibitive computational resources. By leveraging a connection between Haar-randomness and the Dirichlet distribution, the method provides a practical benchmarking tool for verifying randomness in unitaries and states essential for cryptographic protocols and proof-of-computation demonstrations.
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Hierarchically discriminating Haar-randomness in quantum states from a black-box device

arXiv3 min read

arXiv:2404.16211v4 Announce Type: replace Abstract: The concept of randomness in quantum computing has been central to constructing benchmarking tools, cryptographic protocols, as well as a proof of beyond-classical computation. Discerning whether quantum states (or unitaries) are randomly distributed is a computational task that requires an enormous amount of quantum computational resources. This work addresses such a challenge by introducing a hierarchical discrimination algorithm to efficiently test if a set of states $S$ generated from a black-box quantum device with an unknown distribution is (in)compatible with a random distribution. To this end, we reduce the complexity of the problem by selecting an observable with known spectrum to study the statistical properties of its expectation values with respect to the quantum states from an unknown (black-box) quantum device. Concurrently, we use our first technical result, a connection between Haar-randomness and the Dirichlet distribution, to analytically compute Haar-random moments of the observable. Our Haar-random discriminator test is then simply to compare those statistical moments, such that if $S$ fails the test, it is enough to state that the quantum device does not output randomly distributed states. Else, we can not (yet) confirm that the states follow a Haar-random distribution. We further provide an extension to this algorithm by permutation- and unitary-equivalent randomization of the observable at increasing computational resources, which allows us to more accurately state whether \(S\) is compatible with Haar-randomness. We envision the use of the discriminator test as a quantum device benchmark, by discriminating whether the states generated are incompatible with Haar-randomness.

Abstract:The concept of randomness in quantum computing has been central to constructing benchmarking tools, cryptographic protocols, as well as a proof of beyond-classical computation. Discerning whether quantum states (or unitaries) are randomly distributed is a computational task that requires an enormous amount of quantum computational resources. This work addresses such a challenge by introducing a hierarchical discrimination algorithm to efficiently test if a set of states $S$ generated from a black-box quantum device with an unknown distribution is (in)compatible with a random distribution. To this end, we reduce the complexity of the problem by selecting an observable with known spectrum to study the statistical properties of its expectation values with respect to the quantum states from an unknown (black-box) quantum device. Concurrently, we use our first technical result, a connection between Haar-randomness and the Dirichlet distribution, to analytically compute Haar-random moments of the observable. Our Haar-random discriminator test is then simply to compare those statistical moments, such that if $S$ fails the test, it is enough to state that the quantum device does not output randomly distributed states. Else, we can not (yet) confirm that the states follow a Haar-random distribution. We further provide an extension to this algorithm by permutation- and unitary-equivalent randomization of the observable at increasing computational resources, which allows us to more accurately state whether \(S\) is compatible with Haar-randomness. We envision the use of the discriminator test as a quantum device benchmark, by discriminating whether the states generated are incompatible with Haar-randomness.

9 pages main + 2 pages references + 8 pages appendices. The manuscript has gone through a severe rewriting to enhance explainability of the content. A explanatory image has been added. The core content stays the same, albeit in different formatting. Version accepted for publication

arXiv:2404.16211 [quant-ph]

(or arXiv:2404.16211v4 [quant-ph] for this version)

Xavier Bonet-Monroig et al 2026 New J. Phys. 28 074512

https://doi.org/10.1088/1367-2630/ae868b DOI(s) linking to related resources

Full text under the publisher's open licence · 316 words

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