Square Root Algorithm (PART-3): Cumulative Quantum Gravity & Deep Number Theory (QUANTUM AL-GORITHMS)

This paper is built upon analyzation over cumulative information while writing previous papers (part-1 & part- 2) entitled as “Modular Square One-Way Function& Square Root Algorithm”. In that papers the square root algorithm was analyzed. Such analyzation focus on the randomness characteristic of such algorithm aiming to find kind of regularity . The methodology was by rounding the rational numbers of nonperfect square root and normalizing it yield to what is innovatively called modular factor symbol similar to Legendre symbol. It is noticeable that the 1⁄2 factor play a genuine role for such analyzation. This yield analyzing related hypothesis and phenomena with similar factor such as Riemann nontrivial zetta zero laying at real part (1⁄2) in number theory. It is something related to what is called random matrix theory (RMT). In addition, in cosmic there is a surprising relation to what is called chaotic quantum system with Riemann spectrum (Riemannium). This leads us back to what is called Gaussian Unitary Ensemble (GUE). It is somthing rlated to the distribution of the prime number. Analyzing such topics is something genuine to the deep number theory, quantum physics, quantum algorithm which is the recent topics for the quantum mechanics, cryptographic, artificial intelligence (AI)

Authors

Publication Details

Published
2025-05-29
DOI
https://doi.org/10.38124/ijisrt/25may1171
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Square Root Algorithm (PART-3): Cumulative Quantum Gravity & Deep Number Theory (QUANTUM AL-GORITHMS)

Ahmed Mohammed Al-Fahdi
Computational Physics and Python Applications
article

Square Root Algorithm (PART-3): Cumulative Quantum Gravity & Deep Number Theory (QUANTUM AL-GORITHMS)

Ahmed Mohammed Al-Fahdi
article en

Abstract

This paper is built upon analyzation over cumulative information while writing previous papers (part-1 & part- 2) entitled as “Modular Square One-Way Function& Square Root Algorithm”. In that papers the square root algorithm was analyzed. Such analyzation focus on the randomness characteristic of such algorithm aiming to find kind of regularity . The methodology was by rounding the rational numbers of nonperfect square root and normalizing it yield to what is innovatively called modular factor symbol similar to Legendre symbol. It is noticeable that the 1⁄2 factor play a genuine role for such analyzation. This yield analyzing related hypothesis and phenomena with similar factor such as Riemann nontrivial zetta zero laying at real part (1⁄2) in number theory. It is something related to what is called random matrix theory (RMT). In addition, in cosmic there is a surprising relation to what is called chaotic quantum system with Riemann spectrum (Riemannium). This leads us back to what is called Gaussian Unitary Ensemble (GUE). It is somthing rlated to the distribution of the prime number. Analyzing such topics is something genuine to the deep number theory, quantum physics, quantum algorithm which is the recent topics for the quantum mechanics, cryptographic, artificial intelligence (AI)

Openalex Percentile: Top 94%
Computational Physics and Python Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Square Root Algorithm (PART-3): Cumulative Quantum Gravity & Deep Number Theory (QUANTUM AL-GORITHMS) — Ahmed Mohammed Al-Fahdi · (2025) | TGRS Research Map | TGRS