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Quantum Error Correction Fault Tolerance Quantum Machine Learning

From Quantum Codes to Gravity: A Journey of Gravitizing Quantum Mechanics

arXiv

Authors: ChunJun Cao

Year

2021

Paper ID

41104

Status

Preprint

Abstract Read

~2 min

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Abstract

In this note, I review a recent approach to quantum gravity that "gravitizes" quantum mechanics by emerging geometry and gravity from complex quantum states. Drawing further insights from tensor network toy models in AdS/CFT, I propose that approximate quantum error correction codes, when re-adapted into the aforementioned framework, also has promise in emerging gravity in near-flat geometries.

Why This Paper Matters

This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
It adds a 2021 reference point for readers tracking recent quantum research.
In this note, I review a recent approach to quantum gravity that "gravitizes" quantum mechanics by emerging geometry and gravity from complex quantum states.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2112.00199 [2] arXiv https://arxiv.org/abs/2112.00199 [3] Publisher https://arxiv.org/abs/2112.00199

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