Metadata-Version: 1.1
Name: tomographer
Version: 5.0
Summary: The Tomographer Project — Practical, Reliable Error Bars in Quantum Tomography
Home-page: https://github.com/Tomographer/tomographer/
Author: Philippe Faist
Author-email: phfaist@caltech.edu
License: MIT
Download-URL: https://github.com/Tomographer/tomographer/releases/download/v5.0/tomographer-v5.0.tar.gz
Description: Tomographer Python Interface
        ============================
        
        The Python interface to Tomographer allows you to easily perform reliable
        quantum tomography in a Python environment.
        
        Documentation is provided `here
        <https://tomographer.github.io/tomographer/api-doc/current/html/py/index.html>`_.
        
        
        Installation
        ------------
        
        In order to install this Python extension, you need a relatively recent C++ compiler
        (supporting C++11), such as `g++` ≥ 4.8 or `llvm/clang` ≥ 3.3.
        
        The easiest way to install `tomographer` is using `pip`::
        
            pip install numpy pybind11
            pip install tomographer
        
        
        *NOTE*: ``pip`` cannot (apparently) install build-time requirements, so you have
        to install ``numpy`` and ``pybind11`` manually, before installing ``tomographer``.
        
        
        License
        -------
        
        The Tomographer project is licensed under the MIT license, see LICENSE.txt.
        
        Note: This package contains a subset of the
        `Boost library <https://boost.org/>`_
        (distributed under the `Boost software license <http://www.boost.org/users/license.html>`_)
        and the `Eigen3 library <https://eigen.tuxfamily.org/>`_
        (distributed under the `MPL license 2.0 <https://www.mozilla.org/en-US/MPL/2.0/>`_).
        They are located in the source package directory ``tomographer/include/deps/``.
        
Keywords: quantum tomography error bars
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Physics
