Understanding holographic error correction via unique algebras and atomic examples Article Swipe

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Jason Pollack , Patrick Rall , Andrea Rocchetto ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1007/jhep06(2022)056

Related Topics

Erasure (Duo)

Holography

Constructive Solid Geometry

Quantum

Computer Science

Error Detection And Correction

Quantum Information

Algorithm

Theoretical Computer Science

Mathematical Analysis

Concepts

Erasure Holography Constructive Quantum Formalism (music) Quantum error correction Uniqueness Computer science Error detection and correction Construct (python library) Code (set theory) Algebra over a field Quantum information Algorithm Theoretical computer science Mathematics Pure mathematics Quantum mechanics Physics Process (computing) Mathematical analysis Musical Visual arts Art Set (abstract data type) Operating system Programming language

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/jhep06(2022)056
PDF: https://link.springer.com/content/pdf/10.1007/JHEP06(2022)056.pdf
OA Status: diamond
Cited By: 6
References: 83
Related Works: 10
OpenAlex ID: https://openalex.org/W3209908305

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OpenAlex ID: https://openalex.org/W3209908305

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DOI: https://doi.org/10.1007/jhep06(2022)056

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Title: Understanding holographic error correction via unique algebras and atomic examples

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-06-10

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Authors: Jason Pollack, Patrick Rall, Andrea Rocchetto

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Landing page: https://doi.org/10.1007/jhep06(2022)056

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PDF URL: https://link.springer.com/content/pdf/10.1007/JHEP06(2022)056.pdf

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Concepts: Erasure, Holography, Constructive, Quantum, Formalism (music), Quantum error correction, Uniqueness, Computer science, Error detection and correction, Construct (python library), Code (set theory), Algebra over a field, Quantum information, Algorithm, Theoretical computer science, Mathematics, Pure mathematics, Quantum mechanics, Physics, Process (computing), Mathematical analysis, Musical, Visual arts, Art, Set (abstract data type), Operating system, Programming language

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Cited by: 6

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Citations by year (recent): 2025: 3, 2024: 1, 2022: 1, 2021: 1

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References (count): 83

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Related works (count): 10

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