Toward Instance-Optimal State Certification With Incoherent Measurements
Sitan Chen, Jerry Li, Ryan O'Donnell

TL;DR
This paper establishes quantum state certification bounds that depend on the mixedness and fidelity of the state, revealing a fundamental difference from classical distribution testing.
Contribution
It introduces the first instance-optimal bounds for quantum state certification with incoherent measurements, linking copy complexity to mixedness testing and fidelity.
Findings
Copy complexity is proportional to mixedness testing complexity times fidelity.
Bounds differ significantly from classical distribution testing, highlighting quantum-specific phenomena.
Provides nearly tight bounds for nonadaptive incoherent measurement-based certification.
Abstract
We revisit the basic problem of quantum state certification: given copies of unknown mixed state and the description of a mixed state , decide whether or . When is maximally mixed, this is mixedness testing, and it is known that 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 dependence for certain kinds of mixed states , e.g. ones which are approximately low rank? More ambitiously, does there exist a simple functional for which one can show that copies are necessary…
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Taxonomy
TopicsRandom Matrices and Applications · Machine Learning and Algorithms · Quantum Computing Algorithms and Architecture
