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Black Holes and Complexity Classes

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arxiv 1802.02175 v1 pith:KOWE5Y6V submitted 2018-02-06 hep-th quant-ph

classification hep-thquant-ph
keywords blackholesknownwhatclassicalcomputationdescribelimitations
verification ladder T0 review T1 audit T2 compute T3 formal

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It is not known what the limitations are on using quantum computation to speed up classical computation. An example would be the power to speed up PSPACE-complete computations. It is also not known what the limitations are on the duration of time over which classical general relativity can describe the interior geometry of black holes. What is known is that these two questions are closely connected: the longer GR can describe black holes, the more limited are quantum computers. This conclusion, formulated as a theorem, is a result of unpublished work done by Scott Aaronson and myself which I explain here.

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Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 12 citations worldwide. Full citation record

  1. Certifying localizable quantum properties with constant sample complexity

    quant-ph 2025-09 unverdicted novelty 7.0 of 10

    A new framework certifies global quantum properties including multipartite entanglement, circuit complexity, and quantum magic on small subsystems with constant sample complexity via local Pauli measurements.

  2. The arithmetic geometry of AdS$_2$ and its continuum limit

    hep-th 2019-08 conditional novelty 6.0 of 10

    The paper constructs a continuum limit of the finite modular geometry AdS2[Z_N] by embedding it in a two-cutoff family and taking the two cutoffs to infinity along k-Fibonacci sequences.

  3. Probing the Black Hole Interior with Holographic Entanglement Entropy and the Role of AdS/BCFT Correspondence

    hep-th 2025-08 reject novelty 4.0 of 10

    The paper's central claim, that a Horndeski-gravity residual entropy -ξ/6 identifies smooth-interior microstates and firewalls, is an unsupported interpretation of previously derived formulas.

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