quantumclouds 0.1.2

A GPU-accelerated 3D atomic orbital visualizer using VisPy and Matplotlib

quantumclouds

A high-performance, GPU-accelerated 3D atomic orbital visualizer built entirely in Python using VisPy and Matplotlib.

quantumclouds solves the time-independent Schrödinger equation for hydrogen-like atoms analytically, computes the quantum probability density grids across various subshells, and uses advanced OpenGL blending profiles to render organic, glowing electron probability clouds that simulate actual quantum behaviors smoothly.

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✨ Features

• GPU-Accelerated Point Clouds: Utilizes VisPy and custom OpenGL blending equations to render hundreds of thousands of probability coordinate points interactively at ultra-high frame rates.
• Organic Vector Jittering: Implements real-time coordinates micro-jittering to eliminate artificial box/grid banding artifacts, creating perfectly organic-looking orbital shapes.
• Dynamic Node Phase Animation: Animates probability cloud frame transitions using quantum azimuthal phase velocities based on the magnetic quantum number ($m$).
• Cross-Section Analysis: Built-in plot2d engine to cut flat slices straight through the 3D grid space for classical, precise probability density tracking.
• Optimized Deep Space Aesthetics: Defaults completely to the dark, high-contrast magma color spectrum to emphasize multi-lobed structures cleanly against a space-charcoal backdrop.

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🛠️ Installation

Prerequisites

• Python: >= 3.9
• Operating System: macOS (Optimized for Apple Silicon / M-Series via PyQt6), Windows, or Linux.

Installing From PyPI

Once the package is released to the public, you can install it globally with a single command:

pip install quantumclouds