A Conceptual Dissertation on Qubits: Colour Spectrum, Light–Dark Dualities, and Ranges of Potency

Authors

  • Warsame Giuled Independent Researcher Author

DOI:

https://doi.org/10.21590/ijtmh.12.01.09

Keywords:

Qubits; Quantum Information; Colour Spectrum Model; Quantum Duality; Entanglement; Quantum Potency; Quantum Visualization.

Abstract

This study presents a conceptual re-examination of qubits through an integrative framework that combines colour spectrum representation, light–dark dualities, and ranges of quantum potency. While conventional quantum information theory describes qubits using mathematical formalisms such as state vectors and Bloch sphere geometry, these representations often remain abstract and difficult to interpret intuitively. To address this limitation, the paper proposes a multidimensional conceptual model that translates quantum states into visually and philosophically interpretable constructs.
The colour spectrum model interprets probability amplitudes and phase relationships as continuous spectral variations, enabling a more intuitive understanding of superposition and interference. Complementing this, the light–dark duality framework distinguishes between observable and latent quantum states, offering a structured perspective on measurement, decoherence, and entanglement behavior. Furthermore, the concept of quantum potency is introduced as a qualitative measure of a qubit’s informational capacity, stability, and computational relevance, providing a new lens for evaluating quantum states across different physical and algorithmic contexts.
The integration of these three dimensions forms a unified Spectrum–Duality–Potency framework that enhances the interpretability of quantum systems without compromising theoretical rigor. This approach not only bridges the gap between abstract quantum mechanics and conceptual understanding but also supports advancements in quantum education, visualization, and interdisciplinary research. The proposed framework lays the groundwork for future extensions into multi-qubit systems, quantum machine learning, and human-centric quantum system design.

Downloads

Published

2026-03-21

Similar Articles

1-10 of 110

You may also start an advanced similarity search for this article.