Bubble Networks: Framed Discrete Geometry for Quantum Gravity
Laurent Freidel, Etera R. Livine

TL;DR
This paper introduces bubble networks as an extension of twisted geometries for canonical quantum gravity, incorporating additional SL(2,R) data to reconstruct 3D frames and improve geometric consistency.
Contribution
The paper develops bubble networks, extending twisted geometries with SL(2,R) data, enabling unambiguous frame reconstruction and consistent boundary geometry in quantum gravity models.
Findings
Bubble networks encode 3D geometries with additional SL(2,R) data.
The extended structure ensures consistent boundary geometry from neighboring cells.
Quantum gluing corresponds to maximal entanglement along network edges.
Abstract
In the context of canonical quantum gravity in 3+1 dimensions, we introduce a new notion of bubble network that represents discrete 3d space geometries. These are natural extensions of twisted geometries, which represent the geometrical data underlying loop quantum geometry and are defined as networks of SU(2) holonomies. In addition to the SU(2) representations encoding the geometrical flux, the bubble network links carry a compatible SL(2,R) representation encoding the discretized frame field which composes the flux. In contrast with twisted geometries, this extra data allows to reconstruct the frame compatible with the flux unambiguously. At the classical level this data represents a network of 3d geometrical cells glued together. The SL(2,R) data contains information about the discretized 2d metrics of the interfaces between 3d cells and SL(2,R) local transformations are understood…
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