Certifying Almost All Quantum States with Few Single-Qubit Measurements
Hsin-Yuan Huang, John Preskill, Mehdi Soleimanifar
Abstract
Certifying that an n-qubit state ρ synthesized in the lab is close to the target state |ψ⟩ is a fundamental task in quantum information science. However, existing rigorous protocols either require deep quantum circuits or exponentially many single-qubit measurements. In this work, we prove that almost all n-qubit target states |ψ⟩, including those with exponential circuit complexity, can be certified from only O(n 2 ) single-qubit measurements. This result is established by a new technique that relates certification to the mixing time of a random walk. Our protocol has applications for benchmarking quantum systems, for optimizing quantum circuits to generate a desired target state, and for learning and verifying neural networks, tensor networks, and various other representations of quantum states using only single-qubit measurements. We show that such verified representations can be used to efficiently predict highly non-local properties of ρ that would otherwise require an exponential number of measurements on ρ. We demonstrate these applications in numerical experiments with up to 120 qubits, and observe advantage over existing methods such as cross-entropy benchmarking (XEB).
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers4
- Few Single-Qubit Measurements Suffice to Certify Any Quantum StateMeghal Gupta, William He, Ryan O'DonnellSTOC 2026 · 21 citations
- Instance-Optimal Quantum State Certification with Entangled MeasurementsRyan O'Donnell, Chirag WadhwaSTOC 2026 · 14 citations
- The Power of Two Bases: Robust and Copy-Optimal Certification of Nearly All Quantum States with Few-Qubit MeasurementsAndrea Coladangelo, Jerry Li, Joseph Slote, Ellen WuSTOC 2026 · 5 citations
- Quantum Hamiltonian CertificationMinbo Gao, Zhengfeng Ji, Qisheng Wang, Wenjun Yu et al.SODA 2026
Builds on3
- Exponential Separations Between Learning With and Without Quantum MemorySitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry LiFOCS 2021 · 79 citations
- Learning Shallow Quantum CircuitsHsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim et al.STOC 2024 · 21 citations
- Tight Bounds for Quantum State Certification with Incoherent MeasurementsSitan Chen, Jerry Li, Brice Huang, Allen LiuFOCS 2022 · 19 citations
Related papers
- Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local MeasurementsManwen Liao, Yan Zhu, Weitian Zhang, Yuxiang YangICML 2025
- Distributed Quantum inner product estimationAnurag Anshu, Zeph Landau, Yunchao LiuSTOC 2022 · 27 citations
- Entanglement is Necessary for Optimal Quantum Property TestingSébastien Bubeck, Sitan Chen, Jerry LiFOCS 2020 · 33 citations
- Certified Randomness from Quantum SupremacyScott Aaronson, Shih-Han HungSTOC 2023 · 18 citations
- Improved Stabilizer Estimation via Bell Difference SamplingSabee Grewal, Vishnu Iyer, William Kretschmer, Daniel LiangSTOC 2024 · 20 citations
