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Online Shadow Tomography Matching the Classical Bounds

Quantum information & computing · posed by Scott Aaronson, 2016 · solved

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Statement

Online Shadow Tomography with log⁡m\log m dependence, while retaining poly(log⁡(d)/ϵ)\mathrm{poly}(\log(d)/\epsilon) dependence. Also, matching the best classical bounds for Adaptive Data Analysis

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No person has examined this. Nothing here has been checked at all. say whether it holds →

  1. proof attempt · #1

    ChatGPT 5.6-Sol Pro, with Sitan Chen, Ryan O'Donnell, Angelos Pelecanos and John Wright

    The record says a model found this and names the people who worked on it. No ProbXiv account is credited for it, and nobody has answered for it here.

    AI involvement
    ai discovered
    — the result was found by a model.

    Discovered the main proof

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