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    "info": {
        "author": "Adam Sohonyai & Roland Sztaho",
        "author_email": "sohonyai.adam@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
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        "description": "\n## 1. Summary\n\nqvantum is a python module, and it's goal is to ensure an easy use library for understanding quantum computing better or designing new quantum algorithms. Working with this module helps you to get more familiar with the basic concepts such as qubit, register or quantum gate, meanwhile the tool has the power for deeper analysis and development.\n\nThe module is in beta release phase: tested but it might contain bugs, therefore every constructive note is highly appreciated. Also if you would like to collaborate in the developing process do not hesitate to contact us.\n\n## 2. Installation\n\nqvantum module can be easily installed using three different approach below (you could extend the commands below like \"/path/to/python.exe -m pip install ...\", if python wasn't in your PATH)\n\n### 2.1 pip install\n\nThe latest version of the module can be installed online from the PyPi page using pip in command line:\n\n    pip install qvantum\n\nor\n\n    pip install --index-url https://test.pypi.org/simple qvantum\n\n### 2.2 wheel install\n\nThe latest version of the module can be downloaded from the PyPi page in .whl format which can be used for installation:\n\n    pip install qvantum-x.xx-py2.py3-none-any.whl\n\n### 2.3 setup file\n\nA setup.py file is also available on PyPi page. Download the file and the folder called \"qvantum\" then run the command in the folder where all the files were downloaded. Use \u00e2\u20ac\u201ce if you want the module be immediately available for every user in your system:\n\n    pip install .\n\nor\n\n\tpip install \u00e2\u20ac\u201ce .\n\n## 3. Documentation\n\n[GitHub - qvantum](https://github.com/vorpex/qvantum)\n\n",
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        "keywords": "python quantum computing process",
        "license": "MIT",
        "maintainer": "Adam Sohonyai",
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