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Better mocking - not finished

master
Pete Shadbolt před 8 roky
rodič
revize
9776d3e10a
2 změnil soubory, kde provedl 88 přidání a 64 odebrání
  1. +31
    -12
      abp/graphstate.py
  2. +57
    -52
      tests/mock.py

+ 31
- 12
abp/graphstate.py Zobrazit soubor

@@ -25,26 +25,47 @@ class GraphState(object):
self.add_nodes(nodes)
self.deterministic = deterministic

def add_node(self, v, **kwargs):
""" Add a node """
assert not v in self.node
self.adj[v] = {}
self.node[v] = {"vop": clifford.by_name["hadamard"]}
self.node[v].update(kwargs)
def add_node(self, node, **kwargs):
""" Add a node
:param node: The name of the node, e.g. ``9``, ``start``
:type node: Any hashable type
"""
assert not node in self.node, "Node {} already exists".format(v)
self.adj[node] = {}
self.node[node] = {"vop": clifford.by_name["hadamard"]}
self.node[node].update(kwargs)

def add_nodes(self, nodes):
""" Add a buncha nodes """
for n in nodes:
self.add_node(n)

def act_circuit(self, circuit):
""" Run many gates in one call

:param circuit: An iterable containing tuples of the form ``(node, operation)``.
If ``operation`` is a name for a local operation (e.g. ``6``, ``hadamard``) then that operation is performed on ``node``.
If ``operation`` is ``"cz"`` then a CZ is performed on the two nodes in ``node.

For example::
>>> g.act_circuit([(0, "hadamard"), (1, "hadamard"), ((0, 1), "cz")])

"""
for node, operation in circuit:
if operation == "cz":
self.act_cz(*node)
else:
self.act_local_rotation(node, operation)

def _add_edge(self, v1, v2, data={}):
""" Add an edge between two vertices """
assert v1 != v2
""" Add an edge between two vertices """
self.adj[v1][v2] = data
self.adj[v2][v1] = data

def _del_edge(self, v1, v2):
""" Delete an edge between two vertices """
""" Delete an edge between two vertices """
del self.adj[v1][v2]
del self.adj[v2][v1]

@@ -312,9 +333,7 @@ class GraphState(object):
return output

def __eq__(self, other):
""" Check equality between graphs """
if str(type(other)) == "<class 'anders_briegel.graphsim.GraphRegister'>":
return self.to_json() == other.to_json()
""" Check equality between GraphStates """
return self.adj == other.adj and self.node == other.node

if __name__ == '__main__':


+ 57
- 52
tests/mock.py Zobrazit soubor

@@ -5,6 +5,7 @@ Mock graphs used for testing
import numpy as np
from abp import GraphState, clifford
from anders_briegel import graphsim
from numpy import random

# We always run with A&B's CZ table when we are testing
clifford.use_old_cz()
@@ -18,82 +19,86 @@ class AndersWrapper(graphsim.GraphRegister):
assert list(nodes) == range(len(nodes))
super(AndersWrapper, self).__init__(len(nodes))

def act_local_rotation(qubit, operation):
super(AndersWrapper, self).local_op(
qubit, graphsim.LocCliffOp(operation))
def act_local_rotation(self, qubit, operation):
operation = clifford.by_name[str(operation)]
op = graphsim.LocCliffOp(operation)
super(AndersWrapper, self).local_op(qubit, op)

def act_cz(a, b):
def act_cz(self, a, b):
super(AndersWrapper, self).cphase(a, b)

def measure(qubit, basis, force):
def measure(self, qubit, basis, force):
basis = clifford.by_name[basis]
basis = {1: graphsim.lco_X,
2: graphsim.lco_Y,
3: graphsim.lco_Z}[clifford.by_name[basis]]
super(AndersWrapper, self).measure(qubit, basis, None, force)

def __str__(self):
return "A wrapped A&B state ({})".format(super(AndersWrapper, self).__str__())
def __eq__(self, other):
return self.to_json() == other.to_json()

def __repr__(self):
return self.__str__()
def act_circuit(self, circuit):
for node, operation in circuit:
if operation == "cz":
self.act_cz(*node)
else:
self.act_local_rotation(node, operation)

class PeteWrapper(GraphState):

class ABPWrapper(GraphState):

""" A wrapper for abp, just to ensure determinism """

def random_graph_state(N=10):
""" A random Graph state. """
def __init__(self, nodes=[]):
super(ABPWrapper, self).__init__(nodes, deterministic = True)

for base in PeteWrapper, AndersWrapper:
g = base(range(N))

for i in range(N):
g.act_hadamard(i)
def random_pair(n):
""" Helper function to get random pairs"""
return tuple(random.choice(range(n), 2, replace=False))

for i in range(10):
j, k = np.random.choice(range(N), 2, replace=False)
g.act_cz(j, k)

def random_graph_state(n=10):
""" A random Graph state. """
czs = [(random_pair(n), "cz") for i in range(n*2)]
for Base in AndersWrapper, ABPWrapper:
g = Base(range(n))
g.act_circuit((i, "hadamard") for i in range(n))
g.act_circuit(czs)
yield g

def random_stabilizer_state(n=10):
""" Generate a random stabilizer state, without any VOPs """
rotations = [(i, random.choice(range(24))) for i in range(n)]
for g in random_graph_state():
g.act_circuit(rotations)
yield g

def random_stabilizer_state(N=10):
a, b = random_state()
def bell_pair():
for Base in AndersWrapper, ABPWrapper:
g = Base((0, 1))
g.act_circuit(((0, "hadamard"), (1, "hadamard"), ((0, 1), "cz")))
yield g

for i in range(N):
j = np.random.choice(range(N))
k = np.random.choice(range(24))
a.act_local_rotation(j, k)
b.local_op(j, graphsim.LocCliffOp(k))
def onequbit():
for Base in AndersWrapper, ABPWrapper:
g = Base((0,))
yield g

return a, b
def named_node_graph():
""" A graph with named nodes"""
edges = (0, 1), (1, 2), (2, 0), (0, 3), (100, 200), (200, "named")
g = ABPWrapper([0, 1, 2, 3, 100, 200, "named"])
g.act_circuit((i, "hadamard") for i in g.node)
g.act_circuit((edge, "cz") for edge in edges)
return g

if __name__ == '__main__':
a, b = random_graph_state()
assert a == b

def bell():
a = GraphState(range(2))
b = graphsim.GraphRegister(2)
a.act_hadamard(0)
a.act_hadamard(1)
b.hadamard(0)
b.hadamard(1)
a.act_cz(0, 1)
b.cphase(0, 1)
return a, b
a, b = random_stabilizer_state()
assert a == b

print named_node_graph()

def onequbit():
a = GraphState(range(1))
b = graphsim.GraphRegister(1)
return a, b


def demograph():
""" A graph for testing with """
g = GraphState([0, 1, 2, 3, 100, 200])
g.add_edge(0, 1)
g.add_edge(1, 2)
g.add_edge(2, 0)
g.add_edge(0, 3)
g.add_edge(100, 200)
return g

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