Les publications de recherche de l’équipe SCIQ

Publications de 2018 à 2025

Systèmes complexes et information quantique

Les publications

  1. El Kaabouchi, F.X. Machu, J. Cocks, R. Wang, Y.Y. Zhu and Q.A. Wang, Study of a measure of efficiency as a tool for applying the principle of least effort to the derivation of the Zipf and the Pareto laws, Advances in Complex Systems, 24 (2021) 2150013, link
  2. Ye, J. Cocks, F. Machu, Q.A. Wang, You certainly know the second law of thermodynamics, Do you know its connection to other laws of physics and chemistry? Eur. Phys. J +, 137(2022) 1228, link,
  3. Philippe Riot, Démonstration de la conjecture de Goldbach, Actes de Journées Scientifiques de Rochebrune 2022, “Systèmes complexes : Théorie & pratiques ». ISBN 979-10-359-9815-8, pp.63-94 Link
  4. Biswas, F.X. Machu and A. J. Parameswaran, Connections and genuinely ramified maps of curves, Forum mathematicum, 0343 (2022), Link
  5. Rodrigo Bufalo; Tatiana Cardoso e Bufalo; Lucas P. G. de Figueiredo; Qiuping A. Wang; Fabio Lucio Alves, Assessing Black Swan events with the stochastic least action principle, Tsallis entropy and heavy-tailed distribution, Eur. Phys. J +, 138 (2023) 282,  Link
  6. François X. Machu, Ru Wang, Jean-Louis Cheng, Jeremy Cocks, Q. Alexandre Wang, A System-Independent Derivation of Preferential Attachment from the Principle of Least Effort, Entropy , 25 (2023) 305, link
  7. Montacer Dridi, Ahmed Mahjoub, Amine Jaouadi, Plasmonic lasing in highly lossy nanocylinder arrays under optical pumping, Applied Physics B, 129 (2023) 171, Q2, link
  8. Philippe Riot, Convention, cycles et points fixes, Présenté à Journées Scientifiques de Rochebrune 2023, 26 mars – 1 avril 2023, Rochebrune, France
  9. Indranil Biswas, Francois-Xavier Machu, Equivariant vector bundles over the complex projective line, Bollettino dell’Unione Matematica Italiana, Juin 2024, doi.org/10.1007/s40574-024-00417-8
  1. F.X. Machu, Equivariant holomophic Hermitian vector bundles over a projective space, Mathematics, 12 (2024) 3757
  2. Wei LI and Alexandre Q. Wang et al, Supervised and Unsupervised Learning with Numerical Computation for the Wolfram Cellular Automata, Entropy, 27 (2025) 1155, link
  3. Alexandre Q. Wang and Qiong Ye, Du principe d’entropie maximale à partir du principe du travail virtuel, Lila Entropy, 3-4 (2025) 10
  4. Alexandre Q Wang and Qiong Ye, We know maxent is an inferential method, but a most fundamental principle says it is a law of physics, Eur. Phys. J +, accepted (2025), link
  5. Taha Bekbachi, Manuel Clergue, Alexandre Q. Wang, How diffusion models for AI can be optimized by path probability of random dynamics? Conference proceedings CECIIS (2025), link
  6. Abdelaziz El Kaabouchi, Alexandre Q. Wang, Axiom and theorem of uniqueness of entropy and information, Lila Entropy, 3-4 (2025) 15