aiqbench analysis
This research establishes universal scaling laws for the minimum error probability in composite quantum hypothesis testing, revealing how measurement performance degrades or improves as sample size increases. By leveraging geometric symmetries to identify optimal measurements and worst-case states without full tomography, the study provides a rigorous framework for qualifying large ensembles of quantum systems efficiently. The identified transition between scaling regimes represents a second-order phase transition in finite-sample estimation theory relevant to practical quantum device verification.
Universal Scaling of the Minimum Error Probability in Qualification of Quantum States
arXiv:2608.04870v1 Announce Type: new Abstract: Qualification of quantum states judges which of two sets of quantum states an unknown state lies in, where the two sets are labeled by two distinct parameter regions. We formulate this problem as a composite quantum hypothesis test and uncover universal scaling laws for the minimum error probability for $N$ copies. Taking polarization-direction qualification and purity qualification as examples, we show that the $N$-copy permutation symmetry and the geometric symmetries of the parameter regions identify the optimal measurements and the "worst pairwise states". The minimum error probability scales as $N^{-3/2}\exp(-N\xi)$ for disjoint regions and as $(NF)^{-1/2}$ for adjacent regions, where $\xi$ and $F$ are the quantum Chernoff divergence and quantum Fisher information associated with the "worst pairwise states", respectively. With the minimum error probability serving as an order parameter, the transition between the scaling behaviors becomes a second-order phase transition as $N\to\infty$. Our approach determines whether a quantum state belongs to a given set without full state tomography, thereby enabling qualification of large ensembles using finite samples.
Abstract:Qualification of quantum states judges which of two sets of quantum states an unknown state lies in, where the two sets are labeled by two distinct parameter regions. We formulate this problem as a composite quantum hypothesis test and uncover universal scaling laws for the minimum error probability for $N$ copies. Taking polarization-direction qualification and purity qualification as examples, we show that the $N$-copy permutation symmetry and the geometric symmetries of the parameter regions identify the optimal measurements and the "worst pairwise states". The minimum error probability scales as $N^{-3/2}\exp(-N\xi)$ for disjoint regions and as $(NF)^{-1/2}$ for adjacent regions, where $\xi$ and $F$ are the quantum Chernoff divergence and quantum Fisher information associated with the "worst pairwise states", respectively. With the minimum error probability serving as an order parameter, the transition between the scaling behaviors becomes a second-order phase transition as $N\to\infty$. Our approach determines whether a quantum state belongs to a given set without full state tomography, thereby enabling qualification of large ensembles using finite samples.
arXiv:2608.04870 [quant-ph]
(or arXiv:2608.04870v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.04870 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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