Tight Bounds for Quantum State Certification with Incoherent Measurements
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Abstract (arXiv)
We consider the problem of quantum state certification, where we are given the description of a mixed state σ ∈ mathbbCd × d, n copies of a mixed state ρ ∈ mathbbCd × d, and varepsilon > 0, and we are asked to determine whether ρ = σ or whether | ρ - σ |1 > varepsilon. When σ is the maximally mixed state frac1d Id, this is known as mixedness testing. We focus on algorithms which use incoherent measurements, i.e. which only measure one copy of ρ at a time. Unlike those that use entangled, multi-copy measurements, these can be implemented without persistent quantum memory and thus represent a large class of protocols that can be run on current or near-term devices. For mixedness testing, there is a folklore algorithm which uses incoherent measurements and only needs O(d3/2 / varepsilon2) copies. The algorithm is non-adaptive, that is, its measurements are fixed ahead of time, and is known to be optimal for non-adaptive algorithms. However, when the algorithm can make arbitrary incoherent measurements, the best known lower bound is only Omega (d4/3 / varepsilon2) [Bubeck-Chen-Li '20], and it has been an outstanding open problem to close this polynomial gap. In this work, 1) we settle the copy complexity of mixedness testing with incoherent measurements and show that Omega (d3/2 / varepsilon2) copies are necessary, and 2) we show the instance-optimal bounds for state certification to general σ first derived by [Chen-Li-O'Donnell '21] for non-adaptive measurements also hold for arbitrary incoherent measurements. Qualitatively, our results say that adaptivity does not help at all for these problems. Our results are based on new techniques that allow us to reduce the problem to understanding certain matrix martingales, which we believe may be of independent interest.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 8 of its 39 references that are in the map. First posted on arXiv 14 Apr 2022.
Builds on
8 of 39 references.
References · 8
- 2020Predicting Many Properties of a Quantum System from Very Few Measurementscited by 229
- 2021Quantum advantage in learning from experimentscited by 186
- 2021Information-theoretic bounds on quantum advantage in machine learningcited by 95
- 2021Exponential separations between learning with and without quantum memorycited by 50
- 2020Entanglement is Necessary for Optimal Quantum Property Testingcited by 22
- 2021A Hierarchy for Replica Quantum Advantagecited by 16
- 2017Quantum state certificationcited by 13
- 2021Toward Instance-Optimal State Certification With Incoherent Measurementscited by 12
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Citing papers per year: 2022: 3; 2023: 0; 2024: 4; 2025: 4.
11 papers.
- 2022The Complexity of NISQcited by 13
- 2022When Does Adaptivity Help for Quantum State Learning?cited by 12
- 2024Certifying almost all quantum states with few single-qubit measurementscited by 7
- 2022Lower Bounds for Learning Quantum States with Single-Copy Measurementscited by 6
- 2024On the sample complexity of purity and inner product estimationcited by 4
- 2024An optimal tradeoff between entanglement and copy complexity for state tomographycited by 2
- 2024Optimal high-precision shadow estimationcited by 1
- 2025Instance-Optimal Quantum State Certification with Entangled Measurementscited by 1
- 2025Purest Quantum State Identificationcited by 0
- 2025Efficient learning of bosonic Gaussian unitariescited by 0
- 2025Non-iid hypothesis testing: from classical to quantumcited by 0
- 2025Non-iid hypothesis testing: from classical to quantum7 Oct 2025
- 2025Efficient learning of bosonic Gaussian unitaries7 Oct 2025
- 2025Instance-Optimal Quantum State Certification with Entangled Measurements8 Jul 2025
- 2025Purest Quantum State Identification20 Feb 2025
- 2024On the sample complexity of purity and inner product estimation16 Oct 2024
- 2024Optimal high-precision shadow estimation18 Jul 2024
- 2024Certifying almost all quantum states with few single-qubit measurements10 Apr 2024
- 2024An optimal tradeoff between entanglement and copy complexity for state tomography26 Feb 2024
- 2022The Complexity of NISQ13 Oct 2022
- 2022Lower Bounds for Learning Quantum States with Single-Copy Measurements29 Jul 2022
- 2022When Does Adaptivity Help for Quantum State Learning?10 Jun 2022