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20242026
most citedComplexity is not Enough for Randomness

9 citations · 14 across the 8 of their papers we have counts for

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hep-th2026

An SYK wormhole under the microscope

Valérie Bettaque, Martin Sasieta, Brian Swingle +1

We derive a large-N wormhole saddle in the Sachdev-Ye-Kitaev (SYK) model for the variance of the thermal one-point function of a heavy operator across realizations of the microscop…

hep-th2026

Twirled Perfect Tensor Networks: Computationally covariant holographic tensor networks

Gurbir Arora, Matthew Headrick, Albion Lawrence +3

We define a novel class of tensor networks motivated by the Python's Lunch Conjecture (PLC) in local tensor network models of the black hole interior. We start from the observation…

hep-th2025

Baby Universes from Thermal Pure States in SYK

Martin Sasieta, Brian Swingle, Alejandro Vilar López

We construct a simple two-dimensional holographic model of a closed "baby" universe. The baby universe spacetime originates from the black hole interior in Jackiw-Teitelboim (JT) g…

hep-th2025

The Baby Universe is Fine and the CFT Knows It: On Holography for Closed Universes

Stefano Antonini, Pratik Rath, Martin Sasieta +2

Big bang/big crunch closed universes can be realized in AdS/CFT, even though they lack asymptotically AdS boundaries. With enough bulk entanglement, the bulk Hilbert space of a clo…

hep-th2025★ 2 cited

ER for typical EPR

Javier M. Magan, Martin Sasieta, Brian Swingle

What do the typical entangled states of two black holes look like? Do they contain semiclassical interiors? We approach these questions constructively, providing ensembles of state…

hep-th2024★ 3 cited

Random Circuits in the Black Hole Interior

Javier M. Magan, Martin Sasieta, Brian Swingle

In this paper, we present a quantitative holographic relation between a microscopic measure of randomness and the geometric length of the wormhole in the black hole interior. To th…

hep-th2024★ 9 cited

Complexity is not Enough for Randomness

Shiyong Guo, Martin Sasieta, Brian Swingle

We study the dynamical generation of randomness in Brownian systems as a function of the degree of locality of the Hamiltonian. We first express the trace distance to a unitary des…