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Distributed sampling, quantum communication witnesses, and measurement incompatibility

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arxiv 1904.08435 v4 pith:Q5AIFF2V submitted 2019-04-17 quant-ph

classification quant-ph
keywords communicationquantummeasurementalicedevicedistributedfundamentalincompatibility
verification ladder T0 review T1 audit T2 compute T3 formal
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We study prepare-and-measure experiments where the sender (Alice) receives trusted quantum inputs but has an untrusted state-preparation device and the receiver (Bob) has a fully-untrusted measurement device. A distributed-sampling task naturally arises in such scenario, whose goal is for Alice and Bob to reproduce the statistics of his measurements on her quantum inputs using a fixed communication channel. Their performance at such task can certify quantum communication (QC), and this is formalised by measurement-device-independent QC witnesses. Furthermore, we prove that QC can provide an advantage (over classical communication) for distributed sampling if and only if Bob's measurements are incompatible. This gives an operational interpretation to the fundamental notion of measurement incompatibility, and motivates a generalised notion of it. Our findings have both fundamental and applied implications.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Strict hierarchy between $n$-wise measurement simulability, compatibility structures, and multi-copy compatibility

    quant-ph 2025-06 conditional novelty 7.0 of 10

    The paper orders all known generalizations of measurement incompatibility in a strict chain of inclusions, with n-wise compatible assemblages as the convex hull of n-simulable ones, strictly inside n-copy jointly meas...

  2. Measurement incompatibility and quantum steering via linear programming

    quant-ph 2025-06 conditional novelty 7.0 of 10

    A hierarchy of linear programs computes provable upper and lower bounds on measurement incompatibility and quantum steering, scaling polynomially with the number of measurements.

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