Toward Instance-Optimal State Certification With Incoherent Measurements

Sitan Chen, Jerry Li, Ryan O’Donnell
Proceedings of Thirty Fifth Conference on Learning Theory, PMLR 178:2541-2596, 2022.

Abstract

We revisit the basic problem of quantum state certification: given copies of unknown mixed state ρ∈ℂ^{d×d} and the description of a mixed state σ, decide whether σ=ρ or ‖σ−ρ‖_𝗍𝗋 ≥ ϵ. When σ is maximally mixed, this is mixedness testing, and it is known that Ω(d^{Θ(1)}/ϵ^2) copies are necessary, where the exact exponent depends on the type of measurements the learner can make [OW15, BCL20], and in many of these settings there is a matching upper bound [OW15, BOW19, BCL20]. Can one avoid this d^{Θ(1)} dependence for certain kinds of mixed states σ, e.g. ones which are approximately low rank? More ambitiously, does there exist a simple functional f : ℂ^{d×d} → ℝ_{≥0} for which one can show that Θ(f(σ)/ϵ^2) copies are necessary and sufficient for state certification with respect to any σ? Such instance-optimal bounds are known in the context of classical distribution testing, e.g. [VV17]. Here we give the first bounds of this nature for the quantum setting, showing (up to log factors) that the copy complexity for state certification using nonadaptive incoherent measurements is essentially given by the copy complexity for mixedness testing times the fidelity between σ and the maximally mixed state. Surprisingly, our bound differs substantially from instance optimal bounds for the classical problem, demonstrating a qualitative difference between the two settings.

Cite this Paper

BibTeX
@InProceedings{pmlr-v178-chen22b, title = {Toward Instance-Optimal State Certification With Incoherent Measurements}, author = {Chen, Sitan and Li, Jerry and O'Donnell, Ryan}, booktitle = {Proceedings of Thirty Fifth Conference on Learning Theory}, pages = {2541--2596}, year = {2022}, editor = {Loh, Po-Ling and Raginsky, Maxim}, volume = {178}, series = {Proceedings of Machine Learning Research}, month = {02--05 Jul}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v178/chen22b/chen22b.pdf}, url = {https://proceedings.mlr.press/v178/chen22b.html}, abstract = {We revisit the basic problem of quantum state certification: given copies of unknown mixed state ρ∈ℂ^{d×d} and the description of a mixed state σ, decide whether σ=ρ or ‖σ−ρ‖_𝗍𝗋 ≥ ϵ. When σ is maximally mixed, this is mixedness testing, and it is known that Ω(d^{Θ(1)}/ϵ^2) copies are necessary, where the exact exponent depends on the type of measurements the learner can make [OW15, BCL20], and in many of these settings there is a matching upper bound [OW15, BOW19, BCL20]. Can one avoid this d^{Θ(1)} dependence for certain kinds of mixed states σ, e.g. ones which are approximately low rank? More ambitiously, does there exist a simple functional f : ℂ^{d×d} → ℝ_{≥0} for which one can show that Θ(f(σ)/ϵ^2) copies are necessary and sufficient for state certification with respect to any σ? Such instance-optimal bounds are known in the context of classical distribution testing, e.g. [VV17]. Here we give the first bounds of this nature for the quantum setting, showing (up to log factors) that the copy complexity for state certification using nonadaptive incoherent measurements is essentially given by the copy complexity for mixedness testing times the fidelity between σ and the maximally mixed state. Surprisingly, our bound differs substantially from instance optimal bounds for the classical problem, demonstrating a qualitative difference between the two settings.} }
Endnote
%0 Conference Paper %T Toward Instance-Optimal State Certification With Incoherent Measurements %A Sitan Chen %A Jerry Li %A Ryan O’Donnell %B Proceedings of Thirty Fifth Conference on Learning Theory %C Proceedings of Machine Learning Research %D 2022 %E Po-Ling Loh %E Maxim Raginsky %F pmlr-v178-chen22b %I PMLR %P 2541--2596 %U https://proceedings.mlr.press/v178/chen22b.html %V 178 %X We revisit the basic problem of quantum state certification: given copies of unknown mixed state ρ∈ℂ^{d×d} and the description of a mixed state σ, decide whether σ=ρ or ‖σ−ρ‖_𝗍𝗋 ≥ ϵ. When σ is maximally mixed, this is mixedness testing, and it is known that Ω(d^{Θ(1)}/ϵ^2) copies are necessary, where the exact exponent depends on the type of measurements the learner can make [OW15, BCL20], and in many of these settings there is a matching upper bound [OW15, BOW19, BCL20]. Can one avoid this d^{Θ(1)} dependence for certain kinds of mixed states σ, e.g. ones which are approximately low rank? More ambitiously, does there exist a simple functional f : ℂ^{d×d} → ℝ_{≥0} for which one can show that Θ(f(σ)/ϵ^2) copies are necessary and sufficient for state certification with respect to any σ? Such instance-optimal bounds are known in the context of classical distribution testing, e.g. [VV17]. Here we give the first bounds of this nature for the quantum setting, showing (up to log factors) that the copy complexity for state certification using nonadaptive incoherent measurements is essentially given by the copy complexity for mixedness testing times the fidelity between σ and the maximally mixed state. Surprisingly, our bound differs substantially from instance optimal bounds for the classical problem, demonstrating a qualitative difference between the two settings.
APA
Chen, S., Li, J. & O’Donnell, R.. (2022). Toward Instance-Optimal State Certification With Incoherent Measurements. Proceedings of Thirty Fifth Conference on Learning Theory, in Proceedings of Machine Learning Research 178:2541-2596 Available from https://proceedings.mlr.press/v178/chen22b.html.

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