Pete Shadbolt 3f653e20d2 | 8 роки тому | |
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abp | 8 роки тому | |
bin | 8 роки тому | |
doc | 8 роки тому | |
examples | 8 роки тому | |
tests | 8 роки тому | |
.gitignore | 8 роки тому | |
README.md | 8 роки тому | |
setup.py | 8 роки тому |
Python port of Anders and Briegel’ s method for fast simulation of Clifford circuits. Should do thousands of qubits without much trouble.
Install with pip
:
$ pip install --user abp
Or clone and install:
$ git clone https://github.com/peteshadbolt/abp.git
$ python setup.py install --user
You can read the documentation here.
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(10)
>>> 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 :feelsgood:.