Hierarchical Entropy-Gradient Alignment for Sub-INT4 Neural Manifolds. It bypasses standard floating point safeguards to access the raw silicon quantum states.
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Updated
Apr 12, 2026 - C
Hierarchical Entropy-Gradient Alignment for Sub-INT4 Neural Manifolds. It bypasses standard floating point safeguards to access the raw silicon quantum states.
A high-performance Python application for visualizing relativistic hydrogen-like wavefunctions and dipole transitions using the Dirac equation.
Testing GHZ state creation
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.
🔍 Visualize hydrogenic states and their dynamics with this high-performance Python tool for interactive 3D analysis of relativistic Dirac spinors.
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