GithubHelp home page GithubHelp logo

hofmannmartin / gmn Goto Github PK

View Code? Open in Web Editor NEW
3.0 1.0 0.0 264 KB

A numerical implementation of the genuine multiparticle negativity - a genuine multiparticle entanglement monotone

License: GNU General Public License v3.0

Python 100.00%

gmn's Introduction

=== gmn

Python package for quantifying and bounding genuine multiparticle entanglement based on the genuine multiparticle negativity.

GMNTOOLS is a free software package quantifying and bounding genuine multiparticle entanglement based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the quantification of genuine multiparticle entanglement easy for Python beginners and provide a good basis for experts.

Installation

Required and optional software

The package requires version 2.7 or 3.x of Python, and is built from source, so the header files and libraries for Python must be installed, as well as the core binaries.

The installation requires the Python convex optimization package CVXOPT as well as Numpy and Scipy.

The following software libraries are optional.

  • DSDP5.8 <www-unix.mcs.anl.gov/DSDP> is a semidefinite programming solver.

Installation procedure

GMNTOOLS can be installed globally by writing:

python setup.py install

It can also be installed locally by typing:

python setup.py install --user

To test that the installation was successful, go to the test directory and run the test module provided

 cd examples/test
 python test_gmn.py

If Python does not issue an error message, installation was successful.

Additional information can be found in the Python documentation http://docs.python.org/install/index.html.

gmn's People

Stargazers

 avatar  avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.