Welcome to AfricArXiv
This initiative showcases UbuntuNet's commitment to fostering knowledge sharing, collaboration, and accessibility within the African research community. With AfricArxiv, researchers across the continent have a dedicated platform to disseminate their findings, making them accessible to a global audience. By facilitating open access to scholarly work, UbuntuNet Alliance plays a pivotal role in advancing the principles of open science, enhancing research visibility, and driving innovation across Africa.
Communities in AfricArXiv
Select a community to browse its collections.
- The general repository is open for individual submissions by researchers, librarians and research administrators.
- Showcase of project activities, presentations, and scholarly contributions curated by the AfricArXiv initiative.
- Scholarly items sorted by country > Institution > Department
- A Rapid Grant Fund to address research questions and implement science engagement activities associated with COVID-19
Recent Submissions
Quantum π-Index in Advanced Materials: Predictive Framework for Nanostructures, Functional Polymers, and Superconducting States
(Publisher, 2025-11-20) Barack Ndenga
I introduce the Quantum π-Index, a universal descriptor that encapsulates the fundamental interplay between electronic delocalization, structural periodicity, and quantum coherence in advanced functional materials. By systematically analyzing nanostructures, conjugated polymers, and superconducting phases, I demonstrate that π uniquely governs the quantization of energy levels, modulation of density of states, and maintenance of phase coherence. Through rigorous theoretical modeling, coupled with extensive numerical simulations and comparative cross-material analysis, I establish that π transcends its conventional geometric interpretation to serve as a structural invariant. This invariant dictates the underlying principles by which matter stores, transports, and manipulates electronic information at the quantum scale. Consequently, the Quantum π-Index emerges as a predictive metric for quantifying order, coherence, and emergent functionality in complex materials, offering crucial insights for the design and optimization of next-generation quantum and energy technologies
Q-Synapse: A Hybrid Quantum–AI Platform for Tumor State Classification Using Real Genomic Data
(Publisher, 2025-11-20) Barack Ndenga
Quantum Machine Learning (QML) provides a promising computational paradigm to extract complex patterns from biomedical datasets by exploiting quantum superposition, entanglement, and parameterized variational circuits. Despite substantial theoretical work, no existing study provides a fully functional, deployable, and experimentally validated quantum–AI hybrid platform applied directly to real genomic cancer classification.
Here, i introduce Q-Synapse, the first operational prototype that integrates:
(1) an Angle-Encoded Variational Quantum Classifier (VQC) running on a Qiskit simulator,
(2) a real Artificial Intelligence feature-selection engine (GradientBoosting-based genomic ranking),
(3) PCA-driven quantum dimensionality mapping enabling training on 2–4 qubit manifolds, and
(4) a classical baseline (SVM/MLP) for scientifically rigorous benchmarking.
Using the Wisconsin Breast Cancer dataset and reduced TCGA-style gene-expression structures, Q-Synapse demonstrates that quantum circuits can achieve competitive or superior accuracy in low-dimensional genomic subspaces, with smoother convergence behavior and reduced sensitivity to noise. The integrated Streamlit interface provides real-time training visualization, confusion matrices, and feature-importance analytics, resulting in a complete, reproducible, and extensible quantum-biomedical research platform.
Keywords
Quantum Machine Learning; Variational Quantum Classifier; Genomics; Biomedical AI; Cancer Classification; Quantum AI Hybrid Systems; Streamlit; Qiskit.
Quantum π-Driven Predictive Chemistry: Applications to Reactivity, Electronic Structure, and Simulation-Based Forecasting
(Publisher, 2025-11-19) Barack Ndenga
I develop the concept of quantum π as a predictive invariant for chemical reactivity, electronic structure, and simulation-based forecasting. Building on my observation that π governs phase continuity, normalization, and standing-wave structure in quantum systems, I extend this framework to molecular chemistry, where π emerges naturally in delocalized electron networks, orbital topology, and reaction pathways. I propose that quantum π can serve as a unifying descriptor linking molecular symmetry, energetic spacing, resonance strength, and transition-state accessibility. Through analytical reasoning and simulation-inspired examples, I show how quantum π can be directly applied to predict stability trends, reaction outcomes, charge redistribution, spectroscopic signatures, and the energetic landscape of reactive intermediates. This article establishes quantum π as a foundational principle for predictive chemistry
Influence of Skill Acquisition Programmes on Youth Restiveness in Ovia North East Local Government Area of Edo State, Nigeria
(2025-11-19) Airhuoyo, Faith
This study examined the influence of skill acquisition programmes on youth restiveness in Ovia North East Local Government Area of Edo State. Five research questions guided the study. The descriptive survey design was adopted, and 120 youths were selected through simple random sampling. Data were collected using a structured 25-item questionnaire validated by experts, while reliability was established using test–retest technique which yielded a coefficient of 0.75. Data were analysed using mean scores and descriptive statistics. Findings revealed that unemployment, lack of social amenities, poor entrepreneurial capacities, and illiteracy were major causes of youth restiveness (Nsidibe, Emaimo, & Amah, 2017; Ofem & Ajayi, 2008). The study also found a high level of youth participation in entrepreneurship training, vocational programmes, and adult literacy initiatives (Anyanwu, 2002; Oduaran, 1994). Skill acquisition programmes significantly improved youth productivity and reduced involvement in social vices (Ayotunde, 1997; Okeke, 1995). The study concludes that skill acquisition remains a critical tool for curbing youth restiveness. It recommends government-led policies, expanded training access, updated curricula, and post-training support for sustainable youth empowerment.
Leveraging Indigenous Knowledge Systems for Community-Based Education and Sustainable Development in Nigeria: Policy Insights from Edo State
(Zenodo, 2025-11-14) Airhuoyo, Faith
Leveraging Indigenous Knowledge Systems for Community-Based Education and Sustainable Development in Nigeria: Policy Insights from Edo State