CSN Quantum Computing Processes in the Human Brain

Authors

  • Catalin Silviu Nutu Department for General Engineering Sciences of Constanta Maritime University, Constanta, Romania

DOI:

https://doi.org/10.70917/ijcisim-2026-5582

Keywords:

CSN Quantum Computing brain model, CSN Algorithm, evolutionary fractals, procedural randomness, sophisticated intelligence processes

Abstract

CSN stands for Catalin Silviu Nutu, and it is the acronym for the name of the author who has developed the theory related to the CSN Algorithm, such as presented in his previous work published so far. Current conventional and classical AI models today, mainly based on supervised and unsupervised learning, have almost reached their limits, and they are completely insufficient and totally inadequate to simulate and to model highly sophisticated and complicated brain processes involved in highly creative and extremely innovative brain processes. Based on the theory introduced, developed and presented by the author related to the CSN Algorithm and by introducing a new type of special matrix named CSN Matrix of Activations, this paper generates a quantum computing model named CSN Quantum Computing brain model. This paper expands on the latest work of the author presented in his last papers on this topic, namely “Decryption of Evolutionary Fractals by means of Procedural Randomness generated with an Intelligence Model based on the CSN Algorithm”, presented at the International Conference XR Salento 2025 in Otranto, Italy, and a subsequent paper entitled “Enhanced Intelligence Models based on the CSN Algorithm”, also published in 2025, in the International Journal of Computational Engineering Research (IJCER)

Downloads

Download data is not yet available.

Downloads

Published

2026-09-07

How to Cite

Catalin Silviu Nutu. (2026). CSN Quantum Computing Processes in the Human Brain. International Journal of Computer Information Systems and Industrial Management Applications, 18(23s), 386–397. https://doi.org/10.70917/ijcisim-2026-5582

Issue

Section

Original Articles