Pete Shadbolt bf22c0f5e7 | pirms 8 gadiem | |
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abp | pirms 8 gadiem | |
bin | pirms 8 gadiem | |
doc | pirms 8 gadiem | |
examples | pirms 8 gadiem | |
tests | pirms 8 gadiem | |
.bumpversion.cfg | pirms 8 gadiem | |
.gitignore | pirms 8 gadiem | |
MANIFEST.in | pirms 8 gadiem | |
README.md | pirms 8 gadiem | |
TODO.mkd | pirms 8 gadiem | |
makefile | pirms 8 gadiem | |
setup.py | pirms 8 gadiem |
Python port of Anders and Briegel’ s method for fast simulation of Clifford circuits. You can read the full documentation here.
Install with pip
:
$ pip install --user abp
Or clone and install:
$ git clone https://github.com/peteshadbolt/abp.git
$ python setup.py install --user
abp
comes with a tool to visualize graph states in a WebGL compatible web browser (Chrome, Firefox, Safari etc). It uses a client-server architecture.
First, run abpserver
in a terminal:
$ abpserver
Listening on port 5000 for clients..
Then browse to http://localhost:5001/
(in some circumstances abp
will automatically pop a browser window).
Now, in another terminal, use abp.fancy.GraphState
to run a Clifford circuit:
>>> from abp.fancy import GraphState
>>> g = GraphState(range(10))
>>> for i in range(10):
... g.act_hadamard(i)
...
>>> g.update()
>>> for i in range(9):
... g.act_cz(i, i+1)
...
>>> g.update()
And you should see a visualization of the state:
abp
has a bunch of tests. You can run them all with nose
:
$ nosetests
53 tests run in 39.5 seconds (53 tests passed)
Currently I use some reference implementations of CHP
and graphsim
which you won't have installed, hence some tests will fail with ImportErrors
. You can ignore those.