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Discussion Model for Propagation of Social Opinion via Quantum Galois Noise Channels:Entanglement, SuperSpreader

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Yasuko Kawahata

Physics and Society · Submitted 29 Nov 2023

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim These models provide a new framework for a better understanding of social interactions and expand the potential applications of quantum information theory.

how it is stated · asserted 0.90 read the record →

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arXiv ID2401.01352 (version 1)
Pith IDNURMKKGT, Pith's permanent record of this paper and its review
CitationYasuko Kawahata. "Discussion Model for Propagation of Social Opinion via Quantum Galois Noise Channels:Entanglement, SuperSpreader." arXiv:2401.01352 (2023). https://pith.science/paper/NURMKKGT
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,534 input tokens.

What the abstract itself states, as probabilities: claims first 0.09 · states limitation 0.07 · human participants 0.06 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.07 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We apply the concepts of classical and quantum channels to the modeling of opinion dynamics and propose a stochastic method for representing the temporal variation of individual and group opinions. In particular, we use quantum Galois noise channels to couple quantum information theory with social interaction to construct a new model of opinion dynamics that accounts for error rates and noise effects. This model captures more complex opinion propagation and interaction by incorporating the concepts of partial traces and entanglement. We also consider the role of superspreaders in the propagation of noisy information and their suppression mechanisms, and represent these dynamics in a mathematical model. We model the influence of superspreaders on interactions between individuals using unitary transformations and propose a new approach to measure social trustworthiness. In addition, we elaborate on the modeling of opinion propagation and suppression using Holevo channels. These models provide a new framework for a better understanding of social interactions and expand the potential applications of quantum information theory.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We apply the concepts of classical and quantum channels to the modeling of opinion dynamics and propose a stochastic method for representing the temporal variation of individual and group opinions. contribution 0.96 0.92 0.11 asserted 0.99
s1 In particular, we use quantum Galois noise channels to couple quantum information theory with social interaction to construct a new model of opinion dynamics that accounts for error rates and noise effects. method 0.74 0.90 0.11 asserted 1.00
s2 This model captures more complex opinion propagation and interaction by incorporating the concepts of partial traces and entanglement. contribution 0.52 0.81 0.11 asserted 1.00
s3 We also consider the role of superspreaders in the propagation of noisy information and their suppression mechanisms, and represent these dynamics in a mathematical model. contribution 0.92 0.87 0.09 asserted 0.99
s4 We model the influence of superspreaders on interactions between individuals using unitary transformations and propose a new approach to measure social trustworthiness. method 0.52 0.91 0.08 asserted 1.00
s5 In addition, we elaborate on the modeling of opinion propagation and suppression using Holevo channels. contribution 0.55 0.81 0.07 asserted 0.94
s6 These models provide a new framework for a better understanding of social interactions and expand the potential applications of quantum information theory. interpretation 0.95 0.51 0.56 asserted 0.90

What kind of paper the classifier reports this is: theoretical result 0.69 · evidence from proof or derivation 0.72.

What was examined, and what was not

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  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We apply the concepts of classical and quantum channels to the modeling of opinion dynamics and propose a stochastic method for representing the temporal variation of individual and group opinions. In particular, we use quantum Galois noise channels to couple quantum information theory with social interaction to construct a new model of opinion dynamics that accounts for error rates and noise effects. This model captures more complex opinion propagation and interaction by incorporating the concepts of partial traces and entanglement. We also consider the role of superspreaders in the propagation of noisy information and their suppression mechanisms, and represent these dynamics in a mathematical model. We model the influence of superspreaders on interactions between individuals using unitary transformations and propose a new approach to measure social trustworthiness. In addition, we elaborate on the modeling of opinion propagation and suppression using Holevo channels. These models provide a new framework for a better understanding of social interactions and expand the potential applications of quantum information theory.

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