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This research establishes tight query complexity bounds for testing whether quantum operations act nontrivially on a small subset of qubits, resolving previous gaps in theoretical understanding. By demonstrating that forward-only access to unitaries requires $\Theta(k/\log k)$ queries, the study reveals a fundamental separation from models allowing inverse operations and highlights the intrinsic connection between quantum junta testing and classical support-size problems. These results provide essential benchmarks for the efficiency of algorithms designed to verify properties of large-scale quantum systems without full tomography.
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Optimal Quantum Junta Testing without Inverse Queries

arXiv3 min read

arXiv:2609.37926v1 Announce Type: new Abstract: We study the query complexity of testing quantum juntas. Given an unknown $n$-qubit unitary or quantum channel, the goal is to decide whether it acts nontrivially on at most $k$ qubits or is $\varepsilon$-far from every such operation. For unitaries, we consider the forward-only model, where the tester has access to $U$, but not to $U^\dagger$ or controlled-$U$. We give tight bounds for both unitary and channel junta testing. For sufficiently large $k$, $n \ge 2k$, and a broad range of $\varepsilon$, both problems have query complexity $\Theta\left(k/(\varepsilon^2\log k)\right)$. Our upper bounds are achieved by simple nonadaptive testers using product inputs and single-qubit measurements. For junta channels, this closes the gap by Bao and Yao (COLT 23, TPAMI 2025) between an $\widetilde{O}(k)$ upper bound and a $\widetilde{\Omega}(\sqrt{k})$ lower bound at constant $\varepsilon$, establishing the optimal $\Theta(k/\log k)$ query complexity. At the heart of both bounds is a strong connection between quantum junta testing and classical support-size testing. For the upper bounds, we reduce quantum junta testing to a generalized support-size problem for distributions over random subsets, and develop a new tester with improved sample complexity. For the lower bounds, we proceed in the reverse direction, reducing classical support-size testing to quantum junta testing through a phase-masked hard ensemble and showing that forward quantum queries can be exactly classicalized on average. Together, these reductions identify support-size testing as the classical core of quantum junta testing and yield matching lower bounds. At constant $\varepsilon$, they also give a separation between $\Theta(k/\log k)$ forward queries and $\widetilde{O}(\sqrt{k})$ queries with inverse access.

Abstract:We study the query complexity of testing quantum juntas. Given an unknown $n$-qubit unitary or quantum channel, the goal is to decide whether it acts nontrivially on at most $k$ qubits or is $\varepsilon$-far from every such operation. For unitaries, we consider the forward-only model, where the tester has access to $U$, but not to $U^\dagger$ or controlled-$U$. We give tight bounds for both unitary and channel junta testing. For sufficiently large $k$, $n \ge 2k$, and a broad range of $\varepsilon$, both problems have query complexity $\Theta\left(k/(\varepsilon^2\log k)\right)$. Our upper bounds are achieved by simple nonadaptive testers using product inputs and single-qubit measurements. For junta channels, this closes the gap by Bao and Yao (COLT 23, TPAMI 2025) between an $\widetilde{O}(k)$ upper bound and a $\widetilde{\Omega}(\sqrt{k})$ lower bound at constant $\varepsilon$, establishing the optimal $\Theta(k/\log k)$ query complexity. At the heart of both bounds is a strong connection between quantum junta testing and classical support-size testing. For the upper bounds, we reduce quantum junta testing to a generalized support-size problem for distributions over random subsets, and develop a new tester with improved sample complexity. For the lower bounds, we proceed in the reverse direction, reducing classical support-size testing to quantum junta testing through a phase-masked hard ensemble and showing that forward quantum queries can be exactly classicalized on average. Together, these reductions identify support-size testing as the classical core of quantum junta testing and yield matching lower bounds. At constant $\varepsilon$, they also give a separation between $\Theta(k/\log k)$ forward queries and $\widetilde{O}(\sqrt{k})$ queries with inverse access.

arXiv:2609.37926 [quant-ph]

(or arXiv:2609.37926v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.37926 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 349 words

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