TL;DR
This paper introduces a statistical method for reconstructing bulk geometry in holography from noisy entanglement entropy data, advancing the potential for high-precision holographic duality studies.
Contribution
It proposes a novel statistical framework for bulk reconstruction that accounts for noise, enabling more accurate and precise holographic duality analysis.
Findings
Effective handling of noise in bulk geometry reconstruction
Enhanced accuracy in holographic duality applications
A new pathway for precision holography
Abstract
A minimal requirement for any strongly coupled gauge field theory to have a classical dual bulk gravity description is that one should in principle be able to recover the full geometry as encoded on the asymptotics of the spacetime. Even this requirement cannot be fulfilled with arbitrary precision simply due to the fact that the boundary data is inherently noisy. We present a statistical approach to bulk reconstruction from entanglement entropy measurements, which handles the presence of noise in a natural way. Our approach therefore opens up a novel gateway for precision holography.
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