Fast simulation of Clifford circuits
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abp
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.bumpversion.cfg
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README.md
README.rst
setup.py

README.md

abp 0.6.0

Python port of Anders and Briegel' s method for fast simulation of Clifford circuits.

Documentation

You can read the full documentation here. You can also build it locally using Sphinx with make doc.

To install Sphinx on OSX, use pip install sphinx. If after doing so make doc still does not work, some OSX users may also need to install sphinxcontrib-napoleon by running pip install sphinxcontrib-napoleon.

Installation

It's easiest to install with pip:

$ pip install --user abp==0.6.0

Or install from source: clone and install in develop mode:

$ git clone https://github.com/peteshadbolt/abp.git
$ cd abp
$ python setup.py develop --user
$ python setup.py develop --user --prefix=  # Might be required on OSX

If installed from source, check that abp is running your local Python install by ensuring that the first line of abp/bin/abpserver matches your local python install (which can be found using which python). If not, you will need to change it to your local python path.

Some OSX users may find they need additional modifications to their path to execute abpserver from the command line. To add abpserver to your path, you must first find where it is installed, e.g. by typing:

$ find / -iname "abpserver"

A path to a Python library, such as /Users/username/Library/Python/2.7/bin/abpserver, should appear (if installed from source, this is not path/to/repo/abp/bin/abpserver). To add this to your path permanently, open ~/.bash_profile, add the path, e.g. export PATH="$HOME/Library/Python/2.7/bin:$PATH" and restart your shell. If this has worked, typing which abpserver will display the desired path.