Skip to main content

Quantum chemistry package for antimatter simulations

Project description

Antimatter Quantum Chemistry (antinature)

Python Version License DOI

A high-performance quantum chemistry framework designed specifically for simulating antimatter systems, including positronium, anti-hydrogen, and other exotic matter-antinature configurations.

Features

  • Specialized antinature Physics: Dedicated algorithms for positrons and positron-electron interactions
  • Relativistic Corrections: Implementation of relativistic effects critical for accurate antinature modeling
  • Annihilation Processes: Modeling of electron-positron annihilation dynamics
  • Quantum Computing Integration: Built-in Qiskit integration for quantum simulations of antinature systems
  • Validation Tools: Framework for verifying results against known theoretical benchmarks

Installation

Basic Installation

pip install antinature

Installation with Quantum Computing Support

pip install antinature[qiskit]

Development Installation

For development purposes with testing tools:

# Clone the repository
git clone https://github.com/mk0dz/antinature.git
cd antinature

# Install in development mode with all dependencies
pip install -e .[all]

# Run tests
pytest

Dependencies

The package has the following optional dependency groups:

  • qiskit: Required for quantum computing features (Qiskit, Qiskit-Nature, Qiskit-Aer)
  • dev: Development tools (pytest, black, isort)
  • all: Installs all optional dependencies

If you encounter any test failures related to missing dependencies, please ensure you've installed the appropriate dependency group:

# For quantum computing features
pip install -e .[qiskit]

# For development tools
pip install -e .[dev]

# For all dependencies
pip install -e .[all]

Quick Start

import numpy as np
from antinature.core.molecular_data import MolecularData
from antinature.utils import create_antinature_calculation

anti_heh_data = MolecularData(
        atoms=[
            ('He', np.array([0.0, 0.0, 0.0])),
            ('H', np.array([0.0, 0.0, 1.46]))  # ~1.46 Bohr ≈ 0.77 Å bond distance
        ],
        n_electrons=0,       # No electrons in antimatter system
        n_positrons=2,       # 2 positrons (equivalent to 2 electrons in normal HeH+)
        charge=0,            # Overall neutral (2 positrons balance -2 from anti-He, anti-H)
        name="Anti-HeH+",
        description="Anti-helium hydride ion (anti-HeH+) with exotic antimatter composition"
    )

print(f"Molecule: {anti_heh_data.name}")
print(f"Description: {anti_heh_data.description}")
print(f"Formula: {anti_heh_data.get_formula()}")
print(f"Number of positrons: {anti_heh_data.n_positrons}")
print(f"Nuclear repulsion energy: {anti_heh_data.get_nuclear_repulsion_energy():.8f} Hartree")

Citing This Work

If you use this package in your research, please cite:

@software{antinature,
  author = {Mukul},
  title = {Antimatter Quantum Chemistry},
  url = {https://github.com/mk0dz/antinature},
  version = {0.1.0},
  year = {2025},
}

License

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

Contributing

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

See CONTRIBUTING.md for detailed guidelines on how to set up a development environment and contribute to this project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

antinature-0.1.2.tar.gz (141.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

antinature-0.1.2-py3-none-any.whl (121.9 kB view details)

Uploaded Python 3

File details

Details for the file antinature-0.1.2.tar.gz.

File metadata

  • Download URL: antinature-0.1.2.tar.gz
  • Upload date:
  • Size: 141.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for antinature-0.1.2.tar.gz
Algorithm Hash digest
SHA256 2c3f4463727c7bc9b588d00288d22c93e8070f05e75f8afe914263d4a39844cf
MD5 145e4f10710607464248c8122d800c0b
BLAKE2b-256 848795d728c6f25b45bafe202299c5cdf5f1a2fc910e67c89902269c291fd282

See more details on using hashes here.

Provenance

The following attestation bundles were made for antinature-0.1.2.tar.gz:

Publisher: workflow.yml on mk0dz/antinature

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file antinature-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: antinature-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 121.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for antinature-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e2f7e1235fbeac691eb20426ca0e7f657d22326d2496c1f7ccfaa569fa3c2273
MD5 9e59b8ef28713287e65776908797306a
BLAKE2b-256 8124b0dd7c4719a4f125716545f0dceef559a32a31db238d8c18a2599e836a88

See more details on using hashes here.

Provenance

The following attestation bundles were made for antinature-0.1.2-py3-none-any.whl:

Publisher: workflow.yml on mk0dz/antinature

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page