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WIP : add cubic_lattice generator #270

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144 changes: 144 additions & 0 deletions dwave/embedding/cubic_lattice.py
Original file line number Diff line number Diff line change
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# Copyright 2020 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# =============================================================================
from networkx import grid_graph
from dwave_networkx import pegasus_graph, chimera_graph
from dwave.embedding.exceptions import *
from dwave.embedding.diagnostic import diagnose_embedding, verify_embedding
from dimod.generators import doped

def _pegasus_cubic(x, y, z):
return [(z // 4, y, x, 0, z % 4), (z // 4, y, x, 1, z % 4)]


def _chimera_cubic_z12(x, y, z):
return [(y * 3 + i, x * 3 + z // 4, 0, z % 4) for i in range(3)] + [(y * 3 + z // 4, x * 3 + i, 1, z % 4) for i in
range(3)]


def _chimera_cubic_z8_v1(x, y, z):
k, d = divmod(z, 2)
return [(2 * y, 2 * x + d, 0, k), (2 * y + 1, 2 * x + d, 0, k), (2 * y + d, 2 * x, 1, k),
(2 * y + d, 2 * x + 1, 1, k)]


def _chimera_cubic_z8_v2(x, y, z):
d, k = divmod(z, 4)
return [(2 * y, 2 * x + d, 0, k), (2 * y + 1, 2 * x + d, 0, k), (2 * y + d, 2 * x, 1, k),
(2 * y + d, 2 * x + 1, 1, k)]


def _cubic_lattice_pegasus(size, grid=(12, 5, 5)):
""" given the target size of a pegasus graph and the grid, will return the
cubic lattice embedding of the given grid on a complete pegasus of size. """

pegasus = pegasus_graph(size, nice_coordinates = True)
g = grid_graph(list(grid))

emb = {v: _pegasus_cubic(*v) for v in g}
relabeled_emb = {k: [pegasus.nodes[vi]['linear_index'] for vi in v] for k, v in emb.items()}
return relabeled_emb


def _cubic_lattice_chimera(size, version=1, grid=(8, 8, 8)):
""" given the target size of a chimera graph, can only be 16, embedding version and the grid, will return the
cubic lattice embedding of the given grid on a complete C16. """

if size < 16:
raise ValueError("cannot generate cubic lattice for chimera size < 16")
chimera = chimera_graph(size, coordinates=True)

g = grid_graph(list(grid))

if grid == (8, 8, 8):
if version == 1:
emb = {v: _chimera_cubic_z8_v1(*v) for v in g}
elif version == 2:
emb = {v: _chimera_cubic_z8_v2(*v) for v in g}
else:
emb = {v: _chimera_cubic_z12(*v) for v in g}

relabeled_emb = {k: [chimera.nodes[vi]['linear_index'] for vi in v] for k, v in emb.items()}
return relabeled_emb


def _clean_embedding(embedding, source, target):
""" given an embedding for a complete chimera/pegasus, and a target graph of a chimera/pegasus with missing
nodes/edges the function will clean the source graph and the embedding """
to_remove = set(())

for x in diagnose_embedding(embedding, source, target):

if issubclass(x[0], InvalidNodeError) or isinstance(x[0], DisconnectedChainError):
to_remove.add(x[1])
elif issubclass(x[0], MissingEdgeError):
to_remove.add(x[1])
to_remove.add(x[2])
elif issubclass(x[0], DisconnectedChainError):
to_remove.add(x[1])
else:
raise TypeError("Do not know how to handle {}".format(x[0]))

source.remove_nodes_from(to_remove)
[embedding.pop(key) for key in to_remove]

if verify_embedding(embedding, source, target):
return embedding, source
else:
raise EmbeddingError("Couldn't find a cubic lattice embedding")


def cubic_lattice_embedding(source, target, version=1):
"""

Args:
source (:obj:`~networkx.Graph`): A grid graph of dimensions (8,8,8) or (12,5,5). It will be modified in
place based on the nodes of the target graph.
target (:obj:`~networkx.Graph`): A pegasus or a chimera graph.
version (int): only applicable for chimera (8,8,8) grid. can be 1 or 2. toggles between different modes
of cubic lattice generation.

Returns (dict): cubic lattice embedding

"""
try:
topology = target.graph['family']
size = target.graph['rows']
grid = tuple([x + 1 for x in list(source.nodes)[-1]])

except:
raise TypeError('the graph family should be either chimera or pegasus, received nothing')

if topology == 'pegasus':
embedding = _cubic_lattice_pegasus(size, grid=grid)

elif topology == 'chimera':
embedding = _cubic_lattice_chimera(size, version=version, grid=grid)

else:
raise TypeError("Don't know how to generate cubic lattice for topology {}".format(topology))

embedding, source = _clean_embedding(embedding, source, target)
return embedding, source


def cubic_lattice(target, grid, version=1, doping=0, seed=None):
source = grid_graph(list(grid))
embedding, source = cubic_lattice_embedding(source, target, version)
bqm = doped(doping, source, seed=seed)

return bqm, embedding


49 changes: 49 additions & 0 deletions tests/test_cubic_lattice.py
Original file line number Diff line number Diff line change
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# Copyright 2016 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# ================================================================================================

import unittest
from dwave.system import DWaveSampler
from networkx import grid_graph
from dwave_networkx import chimera_graph, draw_chimera_embedding
from dwave.embedding.exceptions import *
from dwave.embedding.diagnostic import diagnose_embedding, verify_embedding


class Test_cubic_lattice(unittest.TestCase):
def test_chimera_888_v1(self):

size = 16
sampler = DWaveSampler()
target = chimera_graph(size, edge_list=sampler.edgelist, node_list=sampler.nodelist)

grid = (8, 8, 8)
source = grid_graph(list(grid))
bqm, embedding = cubic_lattice(target, (8, 8, 8), doping=1)

draw_chimera_embedding(target, emb=embedding)
plt.show()
print(bqm)

def test_chimera_888_v2(self):

def test_chimera_1255(self):

def test_pegasus_p6(self):

def test_pegasus_p16(self):