2021
DOI: 10.48550/arxiv.2111.11945
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Quantum Information Scrambling: From Holography to Quantum Simulators

Arpan Bhattacharyya,
Lata Kh Joshi,
Bhuvanesh Sundar

Abstract: In this review, we present the ongoing developments in bridging the gap between holography and experiments. To this end, we discuss information scrambling and models of quantum teleportation via Gao-Jafferis-Wall wormhole teleportation. We review the essential basics and summarize some of the recent works that have so far been obtained in quantum simulators towards a goal of realizing analogous models of holography in a lab.

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Cited by 6 publications
(6 citation statements)
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References 208 publications
(338 reference statements)
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“…Recently, this teleportation through wormhole has been shown to be thought of as information scrambling in a coupled chain of qubits [96]. Our work can set a useful benchmark via the measurement of thermal OTOCs for such 'quantum gravity in lab' ideas [97][98][99]. where y = e −βH/4 .…”
Section: Discussionmentioning
confidence: 95%
“…Recently, this teleportation through wormhole has been shown to be thought of as information scrambling in a coupled chain of qubits [96]. Our work can set a useful benchmark via the measurement of thermal OTOCs for such 'quantum gravity in lab' ideas [97][98][99]. where y = e −βH/4 .…”
Section: Discussionmentioning
confidence: 95%
“…The review by Bhattacharyya, Joshi and Sundar [21] focuses on the recent progress in quantum simulations of various aspects of quantum black holes such as quantum information scrambling and information mirroring by black holes past their Page time, and also the teleportation protocols realized by traversable wormholes. This examines possibilities of learning new aspects of quantum gravity from such quantum simulators.…”
Section: Quantum Information and Gravitymentioning
confidence: 99%
“…Recent years have seen a fair amount of applications coming from quantum information theory into high energy physics and cosmology. [1][2][3][4][5][6] One such concept is complexity and chaos. [7][8][9][10] Complexity characterizes the notion of difficulty of preparing a state or applying a certain unitary operator while chaos quantifies the sensitivity of the system to the initial condition.…”
Section: Introductionmentioning
confidence: 99%