Entropy of quantum Markov states on Cayley trees

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Abstract
Cite
Souissi, Abdessatar, and Farrukh Mukhamedov. “Entropy of Quantum Markov States on Cayley Trees”. Journal of Statistical Mechanics: Theory and Experiment, vol. 2022, no. 9, 2022, p. 093101, https://doi.org/10.1088/1742-5468/ac8740.
Souissi, A., & Mukhamedov, F. (2022). Entropy of quantum Markov states on Cayley trees. Journal of Statistical Mechanics: Theory and Experiment, 2022(9), 093101. https://doi.org/10.1088/1742-5468/ac8740
Souissi A, Mukhamedov F. Entropy of quantum Markov states on Cayley trees. Journal of Statistical Mechanics: Theory and Experiment. 2022;2022(9):093101.
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Applied mechanics
Refrences
Title Journal Journal Categories Citations Publication Date
Quantum Markov Chains on Comb Graphs: Ising Model Proceedings of the Steklov Institute of Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1 2021
Diagonalizability of Quantum Markov States on Trees Journal of Statistical Physics
  • Science: Mathematics
  • Science: Physics
11 2021
A Class of Quantum Markov Fields on Tree-like Graphs: Ising-type Model on a Husimi Tree

Open Systems & Information Dynamics
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Physics
  • Science: Mathematics
1 2021
Quantum Markov chains: A unification approach

Infinite Dimensional Analysis, Quantum Probability and Related Topics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Physics
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2 2020
Types of factors generated by quantum Markov states of Ising model with competing interactions on the Cayley tree

Infinite Dimensional Analysis, Quantum Probability and Related Topics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Physics
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2 2020
Refrences Analysis
The category Science: Mathematics 26 is the most frequently represented among the references in this article. It primarily includes studies from Infinite Dimensional Analysis, Quantum Probability and Related Topics The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Tree-Homogeneous Quantum Markov Chains International Journal of Theoretical Physics
  • Science: Physics
  • Science: Physics
3 2023
Clustering quantum Markov chains on trees associated with open quantum random walks

AIMS Mathematics 2023
Clustering property for quantum Markov chains on the comb graph

AIMS Mathematics 4 2023
Recurrence of a class of quantum Markov chains on trees Chaos, Solitons & Fractals
  • Science: Mathematics
  • Science: Physics
  • Science: Mathematics
  • Science: Physics
6 2022
Citations Analysis
Category Category Repetition
Science: Physics2
Science: Mathematics1
The category Science: Physics 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Recurrence of a class of quantum Markov chains on trees and was published in 2022. The most recent citation comes from a 2023 study titled Clustering quantum Markov chains on trees associated with open quantum random walks. This article reached its peak citation in 2023, with 3 citations. It has been cited in 3 different journals. Among related journals, the AIMS Mathematics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year