bloch-sphere-plotter 0.1.0

A tool for plotting quantum states on the Bloch sphere

Bloch Sphere Plotter

A Python package for visualizing quantum states on the Bloch sphere with high-quality, customizable plots.

Overview

The Bloch sphere is a geometrical representation of the pure state space of a two-level quantum mechanical system (qubit). This package provides tools to easily visualize quantum states on the Bloch sphere using matplotlib.

Features

• Clean, publication-quality Bloch sphere visualizations
• Simple API for plotting quantum states
• Customizable appearance with proper 3D rendering
• Includes coordinate axes, meridian circles, and equator
• Clear state vector representation with directional arrows

Installation

From PyPI

pip install bloch-sphere-plotter

From Source

git clone https://github.com/yourusername/bloch-sphere-plotter.git
cd bloch-sphere-plotter
pip install -e .

Usage

Basic Example

import numpy as np
from bloch_sphere_plotter.plot import plot_bloch_sphere

# Plot a state using spherical coordinates (theta, phi)
plot_bloch_sphere((np.pi/3, np.pi/4))

Parameters

• state: A tuple (theta, phi) representing the qubit state in spherical coordinates
  • theta: Polar angle (0 to π)
  • phi: Azimuthal angle (0 to 2π)

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/yourusername/bloch-sphere-plotter.git
cd bloch-sphere-plotter

# Install development dependencies
pip install -e ".[dev]"

Running Tests

# Run all tests
pytest

# Run tests with coverage report
pytest --cov=bloch_sphere_plotter

# Run only tests suitable for CI environments (no GUI)
pytest -m ci

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• The matplotlib team for their excellent 3D plotting capabilities
• The quantum computing community for inspiration