Entanglement distillation toward minimal bond cut surface in tensor networks

TL;DR

This paper explores how entanglement distillation in tensor networks relates to minimal surface geometry, providing quantitative analysis and insights into holographic entanglement and emergent geometry.

Contribution

It introduces a quantitative framework connecting bond cut surfaces in tensor networks to entanglement distillation, supporting the Ryu-Takayanagi formula with numerical evidence.

Findings

Numerical results agree with the proposed entanglement distillation picture.

Supports the connection between tensor network geometry and holographic entanglement entropy.

Provides a deeper understanding of the emergence of geometry from entanglement.

Abstract

In tensor networks, a geometric operation of pushing a bond cut surface toward a minimal surface corresponds to entanglement distillation. Cutting bonds defines a reduced transition matrix on the bond cut surface and the associated quantum state naturally emerges from it. We justify this picture quantitatively by evaluating the trace distance between the maximally entangled states and the states on bond cut surfaces in the multi-scale entanglement renormalization ansatz (MERA) and matrix product states in a canonical form. Our numerical result for the random MERA is in a reasonable agreement with our proposal. The result sheds new light on a deeper understanding of the Ryu-Takayanagi formula for entanglement entropy in holography and the emergence of geometry from the entanglement structure.