Lower Bounds for Unitary Property Testing with Proofs and Advice

Jordi Weggemans

QuSoft & CWI, Amsterdam, the Netherlands

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Abstract

In unitary property testing a quantum algorithm, also known as a tester, is given query access to a black-box unitary and has to decide whether it satisfies some property. We propose a new technique for proving lower bounds on the quantum query complexity of unitary property testing and related problems, which utilises its connection to unitary channel discrimination. The main advantage of this technique is that all obtained lower bounds hold for any $\mathsf{C}$-tester with $\mathsf{C} \subseteq \mathsf{QMA}(2)/\mathsf{qpoly}$, showing that even having access to both (unentangled) quantum proofs and advice does not help for many unitary property testing problems. We apply our technique to prove lower bounds for problems like quantum phase estimation, the entanglement entropy problem, quantum Gibbs sampling and more, removing all logarithmic factors in the lower bounds obtained by the sample-to-query lifting theorem of Wang and Zhang (2023). As a direct corollary, we show that there exist quantum oracles relative to which $\mathsf{QMA}(2) \not\supset \mathsf{SBQP}$ and $\mathsf{QMA}/\mathsf{qpoly} \not\supset \mathsf{SBQP}$. The former shows that, at least in a black-box way, having unentangled quantum proofs does not help in solving problems that require high precision.

In quantum computing, some problems reduce to deciding whether an unknown quantum operation (i.e., a unitary) satisfies a given property. This task is called unitary property testing. In the most basic setting, the main question is how many times an algorithm needs to use the unknown unitary (called queries) to determine the answer. In more powerful models, the algorithm may also receive some form of help, such as quantum proofs or trusted quantum advice.

This paper introduces a new method for proving that, even in the presence of quantum proofs and advice, many unitary property testing problems remain intrinsically hard: they still require a large number of queries. The technique relies on a connection between testing properties of quantum operations and distinguishing between two types of quantum transformations (a problem known as unitary channel discrimination).

Using this framework, we establish strong lower bounds on the query complexity of various quantum problems, including quantum phase estimation, entropy estimation, and the preparation of certain quantum states. In all but one case, our technique yields optimal bounds, often with much simpler proofs than existing approaches. Moreover, these bounds continue to hold even when the algorithm is given unentangled quantum proofs and quantum advice.

These results imply that, at least in a black-box setting, quantum proofs and advice do not help when high precision is required. Finally, as a direct corollary of our main results, we use our bounds to offer new insights into the power of certain quantum complexity classes.

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Cited by

[1] Qisheng Wang and Zhicheng Zhang, "Quantum Lower Bounds by Sample-to-Query Lifting", SIAM Journal on Computing 54 5, 1294 (2025).

[2] Fernando Granha Jeronimo, Pei Wu, and Itai Leigh, "The QMA(2) UniverseComplexity, Entanglement, and Optimization", ACM SIGACT News 57 1, 64 (2026).

[3] Qisheng Wang and Zhicheng Zhang, "Time-Efficient Quantum Entropy Estimator via Samplizer", IEEE Transactions on Information Theory 71 12, 9569 (2025).

[4] Qisheng Wang and Zhicheng Zhang, "Quantum Lower Bounds by Sample-to-Query Lifting", arXiv:2308.01794, (2023).

[5] Kean Chen, Qisheng Wang, and Zhicheng Zhang, "Local Test for Unitarily Invariant Properties of Bipartite Quantum States", arXiv:2404.04599, (2024).

[6] Qisheng Wang and Zhicheng Zhang, "Time-Efficient Quantum Entropy Estimator via Samplizer", arXiv:2401.09947, (2024).

[7] Kean Chen, Qisheng Wang, and Zhicheng Zhang, "A List of Complexity Bounds for Property Testing by Quantum Sample-to-Query Lifting", arXiv:2512.01971, (2025).

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