Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
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Updated
Dec 2, 2025 - Python
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
This repository contains the Jupyter Notebook (.ipynb) files developed as part of the course Natural Sciences and Technology (CNYT) at Escuela Colombiana de Ingeniería. These files include solutions to a variety of exercises related to quantum computing concepts.
Dynamic evolution of a topological photonic laser system, for the non-reciprocal SSH and Diamond lattice models. Nonlinear saturable gain and loss are integrated into the models such that phase diagrams are generated to display different lasing-behaviours and topological phenomena.
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