Discrete Bulk Reconstruction
Scott Aaronson, Jason Pollack

TL;DR
This paper presents a polynomial-time method to reconstruct a planar bulk graph model from boundary entropies in AdS/CFT, using an inverse min-cut problem approach, with implications for understanding holographic geometries.
Contribution
It introduces a linear-time algorithm for bulk graph reconstruction from boundary entropies under Strong Subadditivity, and extends the approach to multiple boundaries with wormholes.
Findings
Reconstruction of bulk graphs is possible in linear time for single boundary cases.
The bulk graph is planar with O(N^2) vertices, matching the information-theoretic minimum.
Progress on multiple boundary cases shows an upper bound of O(N^4) vertices, placing the problem in NP.
Abstract
According to the AdS/CFT correspondence, the geometries of certain spacetimes are fully determined by quantum states that live on their boundaries -- indeed, by the von Neumann entropies of portions of those boundary states. This work investigates to what extent the geometries can be reconstructed from the entropies in polynomial time. Bouland, Fefferman, and Vazirani (2019) argued that the AdS/CFT map can be exponentially complex if one wants to reconstruct regions such as the interiors of black holes. Our main result provides a sort of converse: we show that, in the special case of a single 1D boundary, if the input data consists of a list of entropies of contiguous boundary regions, and if the entropies satisfy a single inequality called Strong Subadditivity, then we can construct a graph model for the bulk in linear time. Moreover, the bulk graph is planar, it has vertices…
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Taxonomy
TopicsBlack Holes and Theoretical Physics · Geometric Analysis and Curvature Flows · Noncommutative and Quantum Gravity Theories
