semvec/pypi-packages huggingface dataset:
sdstate 0.1.0
Implementation of Slater Determinant states as dictionaries of states and coefficient pairs. Each state is represented with an integar treated as binary, allowing applying of Excitation operators on the state efficiently. Memory-efficient implementation of Lanczos iteration for estimating Hamiltonian spectrum range.
License: MIT
Requires Python: >=3.9,<4.0

# sdstate

Implementation of Slater Determinant states as dictionaries of states and coefficient pairs. Each state is represented with an integar treated as binary, allowing applying of Excitation operators on the state efficiently. Memory-efficient implementation of Lanczos iteration for estimating Hamiltonian spectrum range.

## Installation

```bash
$ pip install sdstate
```

## Usage

- TODO

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`sdstate` was created by Linjun Wang. It is licensed under the terms of the MIT license.

## Credits

`sdstate` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).