QKeart
A versatile, high-performance, and easy-to-use quantum computing framework for Python.
QKeart is designed to provide a powerful and unified framework for quantum computing, with a focus on performance, usability, and extensibility.
Installation
pip install qkeart
Requirements
The current release requires:
- Windows x86-64
- CPython 3.10
- NVIDIA CUDA-capable GPU
Usage
import 量子核心
Status
QKeart is currently under active development.
The current release primarily focuses on CUDA-accelerated quantum computing and simulation. More capabilities and platform support are planned for future releases.
License
No open-source license is currently granted. All rights reserved.
Copyright © 2026 QKeart.
1 maintainer
Metadata
1 maintainer
Release files for qkeart 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qkeart-0.2.5-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
Release files / qkeart-0.2.5-cp310-cp310-win_amd64.whl
| Download URL | qkeart-0.2.5-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 574.7 kB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.10.20
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