# pyqsim: High-Level Quantum Computing Simulation in Python
pyqsim is a Python library designed to simplify quantum computing simulation through high-level abstractions. It aims to make quantum programming more accessible and intuitive, bridging the gap between classical and quantum computing paradigms.
## Features
- **High-Level Abstraction**: Move beyond low-level circuit and qubit manipulations to a more intuitive programming model.
- **Automatic Inverse Operations**: Objects automatically perform inverse operations upon deletion, maintaining quantum state consistency.
- **Familiar Programming Model**: Use quantum data types similarly to classical types like int, making the transition to quantum computing smoother for classical programmers.
- **Eager Execution**: Computations are performed immediately as Python functions are called, allowing for real-time interaction and debugging.
- **Quantum-Classical Hybrid Programming**: Seamlessly mix quantum operations with classical programming constructs.
## Installation
```bash
pip install pyqsim
```
## Quick Start
Here's a simple example implementing Deutsch's algorithm:
```python
import pyqsim
from pyqsim.types import qint
from pyqsim.gates import h, z
def oracle(x): return x & ~x # Constant function
a = qint(0, size=1)
z(oracle(h(a)))
print("Constant" if int(a) == 0 else "Balanced")
```
## Advanced Usage
Check out the `examples/` directory for more complex quantum algorithms implementations, including Grover's search algorithm.
## Contributing
We welcome contributions! Please contact me through email.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Contact
For any queries or support, please open an issue on our GitHub repository or contact me at [cykim@snu.ac.kr](mailto:cykim@snu.ac.kr).
Raw data
{
"_id": null,
"home_page": "https://github.com/cykim8811/pyqsim",
"name": "pyqsim",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": null,
"keywords": "quantum, simulator, quantum computing",
"author": "cykim8811",
"author_email": "cykim8811@snu.ac.kr",
"download_url": "https://files.pythonhosted.org/packages/b8/6f/7475044c1a00447b9aaacfffc13d75b2e37c32920bc426b7e0dde0b5f986/pyqsim-0.0.4.tar.gz",
"platform": null,
"description": "# pyqsim: High-Level Quantum Computing Simulation in Python\n\npyqsim is a Python library designed to simplify quantum computing simulation through high-level abstractions. It aims to make quantum programming more accessible and intuitive, bridging the gap between classical and quantum computing paradigms.\n\n## Features\n\n- **High-Level Abstraction**: Move beyond low-level circuit and qubit manipulations to a more intuitive programming model.\n- **Automatic Inverse Operations**: Objects automatically perform inverse operations upon deletion, maintaining quantum state consistency.\n- **Familiar Programming Model**: Use quantum data types similarly to classical types like int, making the transition to quantum computing smoother for classical programmers.\n- **Eager Execution**: Computations are performed immediately as Python functions are called, allowing for real-time interaction and debugging.\n- **Quantum-Classical Hybrid Programming**: Seamlessly mix quantum operations with classical programming constructs.\n\n## Installation\n\n```bash\npip install pyqsim\n```\n\n## Quick Start\n\nHere's a simple example implementing Deutsch's algorithm:\n\n```python\nimport pyqsim\nfrom pyqsim.types import qint\nfrom pyqsim.gates import h, z\n\ndef oracle(x): return x & ~x # Constant function\n\na = qint(0, size=1)\nz(oracle(h(a)))\nprint(\"Constant\" if int(a) == 0 else \"Balanced\")\n```\n\n## Advanced Usage\n\nCheck out the `examples/` directory for more complex quantum algorithms implementations, including Grover's search algorithm.\n\n## Contributing\n\nWe welcome contributions! Please contact me through email.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Contact\n\nFor any queries or support, please open an issue on our GitHub repository or contact me at [cykim@snu.ac.kr](mailto:cykim@snu.ac.kr).\n",
"bugtrack_url": null,
"license": null,
"summary": "High-Level Quantum Computing Simulation in Python",
"version": "0.0.4",
"project_urls": {
"Homepage": "https://github.com/cykim8811/pyqsim"
},
"split_keywords": [
"quantum",
" simulator",
" quantum computing"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "bbd3fce0de441c997e63a198e2b57c054e37064242f2de4bd335b1defdbf6a0a",
"md5": "82d21de20c06546da89c2ca71b6fc30e",
"sha256": "11c8416f6f4ddcb89ad17aabcc60e07ab97a59199c05b6984a9c248dbe566a79"
},
"downloads": -1,
"filename": "pyqsim-0.0.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "82d21de20c06546da89c2ca71b6fc30e",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 8646,
"upload_time": "2024-09-07T16:12:32",
"upload_time_iso_8601": "2024-09-07T16:12:32.678991Z",
"url": "https://files.pythonhosted.org/packages/bb/d3/fce0de441c997e63a198e2b57c054e37064242f2de4bd335b1defdbf6a0a/pyqsim-0.0.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b86f7475044c1a00447b9aaacfffc13d75b2e37c32920bc426b7e0dde0b5f986",
"md5": "1e36b716f26b782dad56907ca2b74cee",
"sha256": "9ef03e04eb3267edba628e6ff27466d7ddcdade9644e044235f166948ff599c0"
},
"downloads": -1,
"filename": "pyqsim-0.0.4.tar.gz",
"has_sig": false,
"md5_digest": "1e36b716f26b782dad56907ca2b74cee",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.6",
"size": 10052,
"upload_time": "2024-09-07T16:12:34",
"upload_time_iso_8601": "2024-09-07T16:12:34.502696Z",
"url": "https://files.pythonhosted.org/packages/b8/6f/7475044c1a00447b9aaacfffc13d75b2e37c32920bc426b7e0dde0b5f986/pyqsim-0.0.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-09-07 16:12:34",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "cykim8811",
"github_project": "pyqsim",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "pyqsim"
}
JSON
